All mitsumi'1s Applications !! (updated daily)

[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.49 GB | Duration: 13h 13m

Exam DP-100: Designing and Implementing a Data Science Solution on Azure Covered, Learn Azure Machine Learning

What you'll learn
Prepare for DP-100 Exam
Getting Started with Azure ML
Setting up Azure Machine Learning Workspace
Running Experiments and Training Models
Deploying the Models
AzureML Designer: Data Preprocessing
Regression Using AzureML Designer
Classification Using AzureML Designer
AzureML SDK: Setting up Azure ML Workspace
AzureML SDK: Running Experiments and Training Models
Use Automated ML to Create Optimal Models
Tune hyperparameters with Azure Machine Learning
Use model explainers to interpret models
Requirements
Basic Understanding of Machine Learning
A Free or Paid Subscription to Microsoft Azure
Description
Machine Learning and Data Science are one of the hottest tech fields now a days ! There are a lot of opportunities in these fields. Data Science and Machine Learning has applications in almost every field, like transportation, Finance, Banking, Healthcare, Defense, Entertainment, etc.Most of the professionals and students learn Data Science and Machine Learning but specifically they are facing difficulties while working on cloud environment. To solve this problem I have created this course, DP-100. It will help you to apply your data skills in Azure Cloud smoothly.This course will help you to pass the "Exam DP-100: Designing and Implementing a Data Science Solution on Azure". In this course you will understand what to expect on the exam and it includes all the topics that are require to pass the DP-100 Exam.Below are the skills measured in DP-100 Exam,1) Manage Azure resources for machine learning (25-30%)Create an Azure Machine Learning workspaceManage data in an Azure Machine Learning workspaceManage compute for experiments in Azure Machine LearningImplement security and access control in Azure Machine LearningSet up an Azure Machine Learning development environmentSet up an Azure Databricks workspace2) Run experiments and train models (20-25%)Create models by using the Azure Machine Learning designerRun model training scriptsGenerate metrics from an experiment runUse Automated Machine Learning to create optimal modelsTune hyperparameters with Azure Machine Learning3) Deploy and operationalize machine learning solutions (35-40%)Select compute for model deploymentDeploy a model as a serviceManage models in Azure Machine LearningCreate an Azure Machine Learning pipeline for batch inferencingPublish an Azure Machine Learning designer pipeline as a web serviceImplement pipelines by using the Azure Machine Learning SDKApply ML Ops practices4) Implement responsible machine learning (5-10%)Use model explainers to interpret modelsDescribe fairness considerations for modelsDescribe privacy considerations for dataSo what are you waiting for, Enroll Now and understand Azure Machine Learining to advance your career and increase your knowledge!
Overview
Section 1: Getting Started with Azure ML
Lecture 1 Introduction to Azure Machine Learning
Lecture 2 Introduction to Azure Machine Learning Studio
Lecture 3 Azure ML Cheat Sheet
Lecture 4 DP-100 Exam Skills Measured (Exam Curriculum)
Section 2: Setting up Azure Machine Learning Workspace
Lecture 5 Azure ML: Architecture and Concepts
Lecture 6 Creating AzureML Workspace
Lecture 7 Workspace Overview
Lecture 8 AzureML Studio Overview
Lecture 9 Introduction to Azure ML Datasets and Datastores
Lecture 10 Creating a Datastore
Lecture 11 Creating a Dataset
Lecture 12 Exploring AzureML Dataset
Lecture 13 Introduction to Azure ML Compute Resources
Lecture 14 Creating Compute Instance and Compute Cluster
Lecture 15 Deleting the Resources
Section 3: Running Experiments and Training Models
Lecture 16 Azure ML Pipeline
Lecture 17 Creating New Pipeline using AzureML Designer
Lecture 18 Submitting the Designer Pipeline Run
Section 4: Deploying the Models
Lecture 19 Creating Real-Time Inference Pipeline
Lecture 20 Deploying Real-Time Endpoint in AzureML Designer
Lecture 21 Creating Batch Inference Pipeline in AzureML Designer
Lecture 22 Running Batch Inference Pipeline in AzureML Designer
Lecture 23 Deleting the Resources
Section 5: AzureML Designer: Data Preprocessing
Lecture 24 Setting up Workspace and Compute Resources
Lecture 25 Sample Datasets
Lecture 26 Select Columns in Dataset
Lecture 27 Importing External Dataset From Web URL
Lecture 28 Edit Metadata - Column Names
Lecture 29 Edit Metadata - Feature Type and Data Type
Lecture 30 Creating Storage Account, Datastore and Datasets
Lecture 31 Adding Columns From One Dataset to Another One
Lecture 32 Adding Rows From One Dataset to Another One
Lecture 33 Clean Missing Data Module
Lecture 34 Splitting the Dataset
Lecture 35 Normalizing Dataset
Lecture 36 Exporting Data to Blob Storage
Lecture 37 Deleting the Resources
Section 6: Project 1: Regression Using AzureML Designer
Lecture 38 Creating Workspace, Compute Resources, Storage Account, Datastore and Dataset
Lecture 39 Business Problem
Lecture 40 Analyzing the Dataset
Lecture 41 Data Preprocessing
Lecture 42 Training ML Model with Linear Regression (Online Gradient Descent)
Lecture 43 Evaluating the Results
Lecture 44 Training ML Model with Linear Regression (Ordinary least squares)
Lecture 45 Training ML Model with Boosted Decision Tree and Decision Forest Regression
Lecture 46 Finalizing the ML Model
Lecture 47 Creating and Deploying Real-Time Inference Pipeline
Lecture 48 Creating and Deploying Batch Inference Pipeline
Lecture 49 Deleting the Resources
Section 7: Project 2: Classification Using AzureML Designer
Lecture 50 Creating Workspace, Compute Resources, Storage Account, Datastore and Dataset
Lecture 51 Business Problem
Lecture 52 Analyzing the Dataset
Lecture 53 Data Preprocessing
Lecture 54 Training ML Model with Two-Class Logistic Regression
Lecture 55 Training ML Model with Two-Class SVM
Lecture 56 Training ML Model with Two-Class Boosted Decision Tree & Decision Forest
Lecture 57 Finalizing the ML Model
Lecture 58 Creating and Deploying Batch Inference Pipeline
Section 8: AzureML SDK: Setting up Azure ML Workspace
Lecture 59 AzureML SDK Introduction
Lecture 60 Creating Workspace using AzureMl SDK
Lecture 61 Creating a Datastore using AzureMl SDK
Lecture 62 Creating a Dataset using AzureMl SDK
Lecture 63 Accessing the Workspace, Datastore and Dataset with AzureML SDK
Lecture 64 AzureML Dataset and Pandas Dataset Conversion
Lecture 65 Uploading Local Datasets to Storage Account
Section 9: AzureML SDK: Running Experiments and Training Models
Lecture 66 Running Sample Experiment in AzureML Environment
Lecture 67 Logging Values to Experiment in AzureML Environment
Lecture 68 Introduction to Azure ML Environment
Lecture 69 Running Script in AzureML Environment Part 1
Lecture 70 Running Script in AzureML Environment Part 2
Lecture 71 Uploading the output file to Existing run in AzureML Environment
Lecture 72 Logistic Regression in Local Environment Part 1
Lecture 73 Logistic Regression in Local Environment Part 2
Lecture 74 Creating Python Script - Logistic Regression
Lecture 75 Running Python Script for Logistic Regression in AzureML Environment
Lecture 76 log_confusion_matrix Method
Lecture 77 Provisioning Compute Cluster in AzureML SDK
Lecture 78 Automate Model Training - Introduction
Lecture 79 Automate Model Training - Pipeline Run Part 1
Lecture 80 Automate Model Training - Pipeline Run Part 2
Lecture 81 Automate Model Training -Data Processing Script
Lecture 82 Automate Model Training - Model Training Script
Lecture 83 Automate Model Training - Running the Pipeline
Section 10: Use Automated ML to Create Optimal Models
Lecture 84 Introduction to Automated ML
Lecture 85 Automated ML in Azure Machine Learning studio
Lecture 86 Automated ML in Azure Machine Learning SDK
Section 11: Tune hyperparameters with Azure Machine Learning
Lecture 87 What Hyperparameter Tuning Is?
Lecture 88 Define the Hyperparameters Search Space
Lecture 89 Sampling the Hyperparameter Space
Lecture 90 Specify Early Termination Policy
Lecture 91 Configuring the Hyperdrive Run - Part 1
Lecture 92 Configuring the Hyperdrive Run - Part 2
Lecture 93 Creating the Hyperdrive Training Script
Lecture 94 Getting the Best Model and Hyperparameters
Section 12: Use model explainers to interpret models
Lecture 95 Interpretability Techniques in Azure
Lecture 96 Model Explainer on Local Machine
Lecture 97 Model Explainer in AzureML Part 1
Lecture 98 Model Explainer in AzureML Part 2
Anyone who wants to learn Azure Machine Learning,Students and Professionals Who Wants to Pass DP-100 Exam

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.56 GB | Duration: 4h 3m

How To Target Profitable and Effective Audiences Using Facebook Ads

What you'll learn
Understanding Facebook Ad Account Structure
How To Set Up Facebook Ad Accounts Properly
How To Target Audiences Effectively
How To Optimise Your Facebook Ads Properly For Better Results
Requirements
You Need A Facebook Ad Account (That Is Not Restricted)
Be Willing And Ready To Learn
Description
Facebook and Instagram Ads have greatly changed since the ios14/15 changes. Facebook has also taken away interests due to changes in its policy. This has changed the way we do audience targeting. Some of the audiences that some businesses relied on to bring them sales are no longer working. In this course, I show you the new way to target with Facebook Ads. I will also be sharing some new tactics that will help you get a competitive advantage against your competition and help you get better results.In this course, I show you the following:-- How to create a Facebook Ad campaign properly.- I show you a deeper way to understand your audience.- How to know who your competitors are targeting.- How to target rich people and buyers with Facebook Ads and much more.This class is for people of all levels. I ensure to break things down so the tactics and strategies can be easily understood.I can't wait to see you in the class. See you there! :-)Who is this course for:-- It's for Digital Marketing professionals that want to increase their skill level in Facebook Ads- It's for Business Owners that are looking for a new way to drive more traffic to their business.- It's for people who want to learn a new skill in the Digital Marketing space.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Organic Foundation
Lecture 2 Organic Foundation
Lecture 3 How To Create Ads Using Existing Post
Section 3: How To Create A Facebook Ad Properly
Lecture 4 How To Create A Facebook Ad Properly - Part 1
Lecture 5 How To Create A Facebook Ad Properly - Part 2
Section 4: How To Name Your Campaigns Properly - Nomenclature
Lecture 6 How To Name Your Campaigns Properly - Nomenclature
Section 5: The Anatomy Of The Audience
Lecture 7 The Anatomy Of The Audience
Section 6: How To Use The Suggestions Tool
Lecture 8 How To Use The Suggestions Tool
Section 7: How To Do Audience Targeting Properly
Lecture 9 How To Run Multiple Audiences At The Same Time
Lecture 10 How To Know Who Your Competitors Are Targeting
Lecture 11 How To Know Who Who Your Competitors Are Targeting (2nd Method)
Lecture 12 How To Find Less Competitive Audiences
Lecture 13 How To Target Buyers And Rich People With Facebook Ads
Lecture 14 How To Target People In Your Email List
All Levels

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[mitsumi1]

Published 09/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 lectures (1h 11m) | Size: 528 MB


Learn how to integrate Firebase with your Laravel apps

What you'll learn
integrate Firebase with PHP
Firebase realtime database
Firebase firestore
Firebase authentication
Requirements
Basic knowledge of PHP OOP
Basic knowledge of Laravel is preferred
Description
Hello everybody ,
new course , new skill , new level
In this course we are going to learn Firebase services (Authentication , realtime database and Firestore database) and integrating them with your PHP projects
The course also is valid for both PHP native apps and Laravel apps .
Firstly we will understand what firebase is and how to create a developer account in Firebase console ,
Then we will start our first section by learning more about firebase Authentication services and how user can auth with email and password using this service .
then we will move to user management and we explain how to disable , enable list and remove users using Auth component .
After that we will move to explain two of the most powerful features of Firebase
- Realtime Database and Firestore database
In the Realtime Database section we will learn how to integrate your app with realtime database in firebase using firebase-php SDK and we apply (crud) operations (create, read , update and delete ) and also filtering data using simple queries .
In the last section (Firestore database) we will more about Firestore database and how to use to for large projects by using organized data and speed queriers .
Hope this course boosting your skills and moving forward
Thanks and see you in next courses .
Who this course is for
Any PHP developer who wants to improve its skills with realtime technologies

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 572.36 MB | Duration: 0h 49m

The Only Course You Need to Learn Google Web Stories on WordPress

What you'll learn
You will practically learn about Google Web Stories
Installation of Plugin
You will know one of the biggest opportunities for Web Stories
Best practice technical SEO so search engines can easily discover, understand and rank your Web Stories
You will learn to create custom permalinks for web stories
Real-world web stories Publishing
You will learn to edit and make it better by updating it
Requirements
You need to have WordPress website
Description
Web Stories are a web-based version of the popular Story format, allowing creators to host and own their content.Reach more people and engage your audience like never before by bringing tappable Stories to your website.What you'll learnHow to clearly define your audience/niche when making content.Ways to add value to your content.How to show up authentically online.Ways to bring your content to life with varying content types.How to make lists of niche topics to map out your ideas and home in on what excites you.How to research what content already exists and what subtopics might be ripe for content creationThe quality of your content matters, including spelling and grammar.Keyword research helps you figure out the best terms to use in your content.Include as much metadata as possible for the best results.Use tools to check how your content looks when shared on social media.Tell stories that need to be seenWeb Stories are a visual medium. So when it comes to creating one, first think about what people will want to see and hear.Bring your story to lifeUsing the tool of your choice, edit and customize your story just how you like it.Publish and shareOnce you're happy with your Story, you publish it to your site, which generates a shareable link just like a blog post.Be found on Search EngineYour Story can then be surfaced in relevant users' Search Engine surfaces, like Search and Discover.Integrate on your siteShowcase all your Stories in one place and bring your website to life.Monetize with adsIntegrate with ad networks, including both direct-sold and programmatic ads, to make the most of your creative work.Link out to contentMake the most of your Story by linking to videos, articles, products, and even monetizable affiliate links.There are many ways to build a Web Story. To get started, check out the course complete guide.
Overview
Section 1: Introduction
Lecture 1 1-what is web stories
Lecture 2 2-Web Stories Opportunity
Lecture 3 3-Webstories Official Website
Section 2: Installation, Setup & Configure
Lecture 4 4-Install plugin
Lecture 5 5-web stories settings
Lecture 6 6-Creating Adsense Ads
Section 3: Publishing & Updating Web Stories
Lecture 7 7-Page-1
Lecture 8 7-Page-2
Lecture 9 8-Publish Web Stories
Lecture 10 9-update web stories
There are no requirements but One Who Has Blog or WordPress Website Already Setup.

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.00 GB | Duration: 2h 49m

By best selling authors of "A Golden Pen"

What you'll learn
We train you in how to start a highly profitable mobile notary business. B2B Business development, strategy, client/vendor acquisition, and streamlining .
We teach a complete turn-key process for a mobile notary and loan signing business
Low start up cost, low overhead, low inventory .Zero to a very low advertising budget. A business that doesn't take a loss. Time-tested in
Stand out about competition. Outrank them in searches and Google listings
Requirements
No experience needed
Description
Ever Wanted To Start A Part-Time Business... From home, that be very lucrative? In as little as 3 months!Notary Signing Agent - Get Our #1 Notary CourseEarn Extra Income On Your Own Schedule Working For Yourself. Learn How To Build, Market, And Grow Your Successful Signing Agent Business! Start Today!This Notary Side Hustle Course is our most complete training that comes with , a free face-to-face video strategy session, and the complete Loan Signing Agent steps & side hustle mobile notary signing agent training.Whether you're a new agent or a seasoned professional, this Course will teach you how to build, market, and grow your successful signing agent business with ideas and methods you've probably never thought of or would work!Start Winning "Big League"!We teach a complete turn-key processLow start up cost, low overhead, low inventoryZero to a very low advertising budgetLow liabilityA business that doesn't take a loss, in time-tested industriesWe train you in how to start a highly profitable mobile notary business. B2B Business development, strategy, client/vendor acquisition, and streamlining a proven business model.We will equip you with a list of vendors.How to market to the general public & direct title company & lender connections.We will walk you through every step!How To Stand Out Above Competition and Out Rank Them On Google Maps Listings!How To Follow Up & Keep Generating Repeat Business On Auto-PilotHow To Stand Out Above Competition and Out Rank Them On Google Maps Listings!How To Follow Up & Keep Generating Repeat Business On Auto-PilotThe Most Cost Effective, & Time Effective Marketing Methods For These Business ModelsEasy To Start Side Hustles That Compliment Your Business, So You'll never worry about having a slow week. We Give You The Keys, Ready To GO!The Most Cost Effective, & Time Effective Marketing Methods For These Business ModelsEasy To Start Side Hustles That Compliment Your Business, So You'll never worry about having a slow week. We Give You The Keys, Ready To GO!Notary Prosperity Academy is the ultimate online course for learning to start lucrative paying side hustles to generate multiple streams of income!I am Mark.Founder of Noble Notary & Legal Document Preparers A top mobile notary service in the Daytona Beach Area.I am also the author of the book best selling book "A GOLDEN PEN".My team has been processing 100s of transactions per month since we launched, and now I want to teach you how to do it as well!In 2019 I walked away from my career as a critical care registered nurse. Burned out and frustratedwith what the healthcare system had become.My wife Grace & I started a mobile notary business which has been a smashing success.Compared to nursing I feel like I am semi-retired.We each only work about 15-20 hours a week. Each subsequent year, it seems we not only work alittle less, and our income manages to increase, but we have added additional services that havealso been lucrative.I tell you this not to impress you, but to impress upon you what can be achievedin the right business models with the right connections & teaching.all out and includes many tangible resources.If you know anyone who has always wanted to start a business that has a low start-upcost, ease of entry & high profitability you will let them know about us!The Secrets of a Successful Mobile Notary Business. Marketing, branding, and business systems are simplified. If you are struggling to pay the bills and make ends meet, this is a good place to start.Grow your mobile notary business model and generate income streams using my six-figure coaching business model. You'll need to invest some time in the first month or so, but the payoffs are HUGE! We Teach Contract & Client Acquisition. Business Development. Connections. Brand Recognition. Set up & efficiency logistics.Here's a snapshot of what you can expect to learn in detail:Hundreds of signing service vendors. How to secure the contracts so they will be using you.We will show you a winning resume, website design, business cards & credentials list & advice on how to augment it!Thousands of Title & Escrow direct contacts. How to email, call and follow up with them smoothly. Actual scripts we use.How to make new connections after a closing.Upselling & cross-selling additional services without even trying. You can add additional weekly revenue doing ZERO extra signings!Marketing & Branding Simplified. Where to create profiles. How to create FB, YouTube & Google ads.Viable "side-hustle" streams of income that compliment your mobile notary business model very well and are easy to get started You'll never worry about having a slow week.Website & google listing "hacks" to outrank the competition.A Plethora of useful documents, site links & more... to make business flow easy.
Overview
Section 1: Welcome
Lecture 1 Welcome To Noble Notary's Prosperity Academy
Lecture 2 About Us
Section 2: Notary Vs. Signing Agent Vs. Executive Closing Agent
Lecture 3 Positioning Yourself
Section 3: Getting Started
Lecture 4 SUPPLIES
Lecture 5 NNA Walk Through
Lecture 6 Branding
Lecture 7 Branding Continued
Lecture 8 Execution
Lecture 9 Facebook For Lead Capture
Section 4: Get Revenue Flowing
Lecture 10 Getting Appointments On Auto Pilot
Lecture 11 Signing Platforms
Lecture 12 Signing Platforms Continued
Lecture 13 Notary Directories
Lecture 14 Vendors & Signing Companies
Section 5: Efficiency, Optimizing & Expanding
Lecture 15 The most important module!
Lecture 16 Overdelivering
Lecture 17 Google Business Profile Hacking
Lecture 18 Blow The Competition Away
Lecture 19 Squeezing More Out Of It All
Lecture 20 Email Campaigns
Lecture 21 Low Cost Ad Tricks & Tips
Lecture 22 Monetize Your Notary Business Even Further
Section 6: Advanced Marketing & Multiple Streams Of Income
Lecture 23 Atypical Lead Generation Methods
Lecture 24 YouTube Local
Lecture 25 Side Hu$tles
Lecture 26 Side Hu$tles Continued...
Lecture 27 More On Credit Repair Services
Lecture 28 credit repair continued
Section 7: The Document Preparation Hustle
Lecture 29 The Gold Mine That is Legal Doc Prep
Lecture 30 Legal Doc Prep Continued...
Lecture 31 Cross selling Lady Bird Deeds For A Small Fortune
Lecture 32 Lady Birds Continued...
People looking to start a way paying side hustle or boost revenue in additional revenue,Looking for side hustle,Notary publics,Paralegals

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 385.22 MB | Duration: 0h 31m

Cover the different fire system types, their working principle, and learn how to design sprinkler system.

What you'll learn
Sizing pump for firefighting system
Identify the different sprinkler system types
Design of sprinkler system with step-by-step example
What is Zone control valve
What is Fire department connection
Fire pump types
Requirements
No experience required. You will learn everything you need to know.
Description
A crash course in firefighting. After finishing this course, you will gain a good knowledge about firefighting system types and components. Also, you will gain good knowledge how to design a fire system and size its pumps. Following are the course components:Section 1: Standpipe and fire hose system pump sizing NFPA 14 is the code to use in this lesson. Section 2: Fire hose system pipe sizing This video provides you with a simple way to calculate or size the fire hose / landing valve system piping.Section 3: All about Sprinkler System, its types and a design example of wet sprinkler system understand and design firefighting sprinkler systems even if you do not have any background about it. Firefighting basics, the fire triangle, Firefighting system types, Sprinkler head types (upright, pendent, sidewall and concealed), Sprinkler system types: wet system pipe, dry system pipe, pre-action and deluge system pipes, Sprinkler system designSection 4: Zone control valve You will learn in this short video the fire Zone Control Valve Assembly and function.Section 5: Fire department connectionSection 6: End suction pump vs split case pumpknow the difference between end suction pumps and split case pumps, their capacities, types and fields of usage.
Overview
Section 1: Fire Pump Sizing
Lecture 1 Calculate the pump flow
Lecture 2 Calculate the pump head
Section 2: Size standpipe and fire hose system piping
Lecture 3 Sizing the standpipe and fire hose system piping
Section 3: Fire Sprinkler System
Lecture 4 The Fire Triangle
Lecture 5 Fire System Types
Lecture 6 Sprinkler head types
Lecture 7 Sprinkler System types
Lecture 8 Sprinkler system design
Section 4: Zone Control Valve
Lecture 9 Zone Control Valve Assembly
Section 5: Fire Department connection
Lecture 10 Fire Department Connection FDC
Section 6: Fire Pump Types
Lecture 11 End Suction & Split Case Pumps
Students, fresh graduates, technicians or anybody curious about firefighting systems.

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[mitsumi1]

Published 09/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 91 lectures (18h 1m) | Size: 7.2 GB


Learn basic to advanced Machine Learning algorithms by creating web applications using Flask!!

What you'll learn
Master Machine Learning on Python
Learn about Regression, Classification tasks
Learn about neural networks
Learn about Deep neural networks with projects
Create web applications using flask
Simple Model building with Scikit-Learn , TensorFlow and Keras
Creating REST API for Machine Learning models
Learn about Exploratory Data Analysis
Implement linear, logistic regression
Implement convolution neural network
Learn about Postman to test API endpoints
Requirements
Any laptop and an internet connection
Basic knowledge of Python programming is must
Description
Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so.
In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are 'trained' to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data.
Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.
Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning.
Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.
Topics covered in this course
1. Warm-up with Machine learning Libraries: numpy, pandas
2. Implement Machine Learning algorithms: Linear, Logistic Regression
3. Implement Neural Network from scratch
4. Introduction to Tensorflow and Keras
5. Start with simple "Hello World" flask application
6. Create flask application to implement linear regression and test the API's endpoints
7. Implement transfer learning and built an app to implement image classification
Who this course is for
Programmer who wants to learn machine learning by creating web applications
Data Scientists who want to know how to test & monitor their models beyond
Beginner Python programmer
Machine Learning engineer who wants to create fun projects using their basic skills

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 750.60 MB | Duration: 1h 33m

Learn How to Create Passive Income with Canva Even if Your Aren't a Designer

What you'll learn
Get inspired by all of the many types of templates you can create and sell
Research and identify a lucrative template niche
Learn best practices for designing successful templates
Explore numerous platforms on which you can sell your templates to create ongoing passive income
Get tips on how to drive traffic to your templates to increase sales
Requirements
A free Canva account and a can-do attitude are all you need!
Description
Did you know that 75 MILLION people use Canva every single month?! That's a lot of people! And that's why Canva templates are more in demand than ever before.Yes, there are some free templates in Canva, but do you really want to use the same templates as 75 million other people? Of course you don't! And neither do millions of people worldwide.This course teaches you everything you need to know to go from a casual Canva user to a template-selling pro. The focus of the course is on the business side of this process rather than the design side.The good news is that you don't need to be a professional designer to be successful with this. There are many kind of templates you can sell that are easy to design. And I also show you where to find tons of design inspiration if you feel stuck in the design process.Who this course is for:Online entrepreneursOnline marketersBloggersOnline business ownersAnyone who wants to start a passive income business online from homeTake the guesswork out of setting up your template shop and start enjoying a new source of passive income. Because there is nothing better than making sales while you are asleep!Can't wait to see what you create. Enroll today!(User figure is from Canva's own blog. It reflects the number of users as of Dec. 2021.)
Overview
Section 1: Introduction
Lecture 1 Welcome!
Section 2: Getting Started: What to Sell
Lecture 2 What Kind of Templates Can You Sell?
Lecture 3 The Importance of Market Research
Lecture 4 How to Find Your Design Niche
Lecture 5 The Value of Specializing
Lecture 6 Turn Your B2B Template Into a B2C Product
Section 3: Design Pro Tips for Better Templates & Happier Customers
Lecture 7 Design Pro Tips for Success
Lecture 8 What Is Lorem Ipsum & Why Do Designers Use It?
Lecture 9 The Power of Images
Lecture 10 Best Practices for Delivering Your Templates to Customers
Section 4: Successful Selling: Where to Sell & How to Increase Sales
Lecture 11 Where to Sell: Platform Options
Lecture 12 The Importance of Good Product Images
Lecture 13 Writing Product Descriptions
Lecture 14 Pricing Your Templates
Lecture 15 Pro Tip: An Easy Way to Increase Order Value
Lecture 16 New Option: Sell Directly on Canva
Lecture 17 Driving Traffic for More Sales
Anyone who has an interest in creating a new business selling Canva templates online. No need to be a professional designer. There are many easy template options that are still very profitable.

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.43 GB | Duration: 12h 3m

Exam DP-100: Designing and Implementing a Data Science Solution on Azure Covered, Learn Azure Machine Learning

What you'll learn
Prepare for DP-100 Exam
Getting Started with Azure ML
Setting up Azure Machine Learning Workspace
Running Experiments and Training Models
Deploying the Models
AzureML Designer: Data Preprocessing
Regression Using AzureML Designer
Classification Using AzureML Designer
AzureML SDK: Setting up Azure ML Workspace
AzureML SDK: Running Experiments and Training Models
Use Automated ML to Create Optimal Models
Tune hyperparameters with Azure Machine Learning
Use model explainers to interpret models
Requirements
Basic Understanding of Machine Learning
A Free or Paid Subscription to Microsoft Azure
Description
Machine Learning and Data Science are one of the hottest tech fields now a days ! There are a lot of opportunities in these fields. Data Science and Machine Learning has applications in almost every field, like transportation, Finance, Banking, Healthcare, Defense, Entertainment, etc.Most of the professionals and students learn Data Science and Machine Learning but specifically they are facing difficulties while working on cloud environment. To solve this problem I have created this course, DP-100. It will help you to apply your data skills in Azure Cloud smoothly.This course will help you to pass the "Exam DP-100: Designing and Implementing a Data Science Solution on Azure". In this course you will understand what to expect on the exam and it includes all the topics that are require to pass the DP-100 Exam.Below are the skills measured in DP-100 Exam,1) Manage Azure resources for machine learning (25-30%)Create an Azure Machine Learning workspaceManage data in an Azure Machine Learning workspaceManage compute for experiments in Azure Machine LearningImplement security and access control in Azure Machine LearningSet up an Azure Machine Learning development environmentSet up an Azure Databricks workspace2) Run experiments and train models (20-25%)Create models by using the Azure Machine Learning designerRun model training scriptsGenerate metrics from an experiment runUse Automated Machine Learning to create optimal modelsTune hyperparameters with Azure Machine Learning3) Deploy and operationalize machine learning solutions (35-40%)Select compute for model deploymentDeploy a model as a serviceManage models in Azure Machine LearningCreate an Azure Machine Learning pipeline for batch inferencingPublish an Azure Machine Learning designer pipeline as a web serviceImplement pipelines by using the Azure Machine Learning SDKApply ML Ops practices4) Implement responsible machine learning (5-10%)Use model explainers to interpret modelsDescribe fairness considerations for modelsDescribe privacy considerations for dataSo what are you waiting for, Enroll Now and understand Azure Machine Learining to advance your career and increase your knowledge!
Overview
Section 1: Getting Started with Azure ML
Lecture 1 Introduction to Azure Machine Learning
Lecture 2 Introduction to Azure Machine Learning Studio
Lecture 3 Azure ML Cheat Sheet
Lecture 4 DP-100 Exam Skills Measured (Exam Curriculum)
Section 2: Setting up Azure Machine Learning Workspace
Lecture 5 Azure ML: Architecture and Concepts
Lecture 6 Creating AzureML Workspace
Lecture 7 Workspace Overview
Lecture 8 AzureML Studio Overview
Lecture 9 Introduction to Azure ML Datasets and Datastores
Lecture 10 Creating a Datastore
Lecture 11 Creating a Dataset
Lecture 12 Exploring AzureML Dataset
Lecture 13 Introduction to Azure ML Compute Resources
Lecture 14 Creating Compute Instance and Compute Cluster
Lecture 15 Deleting the Resources
Section 3: Running Experiments and Training Models
Lecture 16 Azure ML Pipeline
Lecture 17 Creating New Pipeline using AzureML Designer
Lecture 18 Submitting the Designer Pipeline Run
Section 4: Deploying the Models
Lecture 19 Creating Real-Time Inference Pipeline
Lecture 20 Deploying Real-Time Endpoint in AzureML Designer
Lecture 21 Creating Batch Inference Pipeline in AzureML Designer
Lecture 22 Running Batch Inference Pipeline in AzureML Designer
Lecture 23 Deleting the Resources
Section 5: AzureML Designer: Data Preprocessing
Lecture 24 Setting up Workspace and Compute Resources
Lecture 25 Sample Datasets
Lecture 26 Select Columns in Dataset
Lecture 27 Importing External Dataset From Web URL
Lecture 28 Edit Metadata - Column Names
Lecture 29 Edit Metadata - Feature Type and Data Type
Lecture 30 Creating Storage Account, Datastore and Datasets
Lecture 31 Adding Columns From One Dataset to Another One
Lecture 32 Adding Rows From One Dataset to Another One
Lecture 33 Clean Missing Data Module
Lecture 34 Splitting the Dataset
Lecture 35 Normalizing Dataset
Lecture 36 Exporting Data to Blob Storage
Lecture 37 Deleting the Resources
Section 6: Project 1: Regression Using AzureML Designer
Lecture 38 Creating Workspace, Compute Resources, Storage Account, Datastore and Dataset
Lecture 39 Business Problem
Lecture 40 Analyzing the Dataset
Lecture 41 Data Preprocessing
Lecture 42 Training ML Model with Linear Regression (Online Gradient Descent)
Lecture 43 Evaluating the Results
Lecture 44 Training ML Model with Linear Regression (Ordinary least squares)
Lecture 45 Training ML Model with Boosted Decision Tree and Decision Forest Regression
Lecture 46 Finalizing the ML Model
Lecture 47 Creating and Deploying Real-Time Inference Pipeline
Lecture 48 Creating and Deploying Batch Inference Pipeline
Lecture 49 Deleting the Resources
Section 7: Project 2: Classification Using AzureML Designer
Lecture 50 Creating Workspace, Compute Resources, Storage Account, Datastore and Dataset
Lecture 51 Business Problem
Lecture 52 Analyzing the Dataset
Lecture 53 Data Preprocessing
Lecture 54 Training ML Model with Two-Class Logistic Regression
Lecture 55 Training ML Model with Two-Class SVM
Lecture 56 Training ML Model with Two-Class Boosted Decision Tree & Decision Forest
Lecture 57 Finalizing the ML Model
Lecture 58 Creating and Deploying Batch Inference Pipeline
Section 8: AzureML SDK: Setting up Azure ML Workspace
Lecture 59 AzureML SDK Introduction
Lecture 60 Creating Workspace using AzureMl SDK
Lecture 61 Creating a Datastore using AzureMl SDK
Lecture 62 Creating a Dataset using AzureMl SDK
Lecture 63 Accessing the Workspace, Datastore and Dataset with AzureML SDK
Lecture 64 AzureML Dataset and Pandas Dataset Conversion
Lecture 65 Uploading Local Datasets to Storage Account
Section 9: AzureML SDK: Running Experiments and Training Models
Lecture 66 Running Sample Experiment in AzureML Environment
Lecture 67 Logging Values to Experiment in AzureML Environment
Lecture 68 Introduction to Azure ML Environment
Lecture 69 Running Script in AzureML Environment Part 1
Lecture 70 Running Script in AzureML Environment Part 2
Lecture 71 Uploading the output file to Existing run in AzureML Environment
Lecture 72 Logistic Regression in Local Environment Part 1
Lecture 73 Logistic Regression in Local Environment Part 2
Lecture 74 Creating Python Script - Logistic Regression
Lecture 75 Running Python Script for Logistic Regression in AzureML Environment
Lecture 76 log_confusion_matrix Method
Lecture 77 Provisioning Compute Cluster in AzureML SDK
Lecture 78 Automate Model Training - Introduction
Lecture 79 Automate Model Training - Pipeline Run Part 1
Lecture 80 Automate Model Training - Pipeline Run Part 2
Lecture 81 Automate Model Training -Data Processing Script
Lecture 82 Automate Model Training - Model Training Script
Lecture 83 Automate Model Training - Running the Pipeline
Section 10: Use Automated ML to Create Optimal Models
Lecture 84 Introduction to Automated ML
Lecture 85 Automated ML in Azure Machine Learning studio
Lecture 86 Automated ML in Azure Machine Learning SDK
Section 11: Tune hyperparameters with Azure Machine Learning
Lecture 87 What Hyperparameter Tuning Is?
Lecture 88 Define the Hyperparameters Search Space
Lecture 89 Sampling the Hyperparameter Space
Lecture 90 Specify Early Termination Policy
Lecture 91 Configuring the Hyperdrive Run - Part 1
Lecture 92 Configuring the Hyperdrive Run - Part 2
Lecture 93 Creating the Hyperdrive Training Script
Lecture 94 Getting the Best Model and Hyperparameters
Section 12: Use model explainers to interpret models
Lecture 95 Interpretability Techniques in Azure
Lecture 96 Model Explainer on Local Machine
Lecture 97 Model Explainer in AzureML Part 1
Lecture 98 Model Explainer in AzureML Part 2
Anyone who wants to learn Azure Machine Learning,Students and Professionals Who Wants to Pass DP-100 Exam

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.47 GB | Duration: 14h 39m

The most focused, organised, in-depth IELTS Speaking preparation course available online

What you'll learn
Master IELTS-specific grammar, language and answer structures built around the exact challenges of the IELTS test and become better prepared than ever before
With me, you'll create 14 intelligently designed language and grammar organisers, full of the exact vocabulary and structure you need to face IELTS questions
Try 15 different Exam Simulations to get used to the real pressures and challenges of IELTS
Watch over 120 videos of engaging slides, in-depth explanations, lots and lots of examples, and practise with supplemental homework activities
Get 1-on-1 feedback from an IELTS tutor with 10 years of experience
Requirements
A B1-level of English is required to understand the explanation videos. Subtitles are included.
Description
Using Mark Teacher's IELTS Speaking System, you will never be more ready to face your IELTS Speaking test.Gain structure and confidence in your English with over 120 video lessons, containing grammar explanations, answer strategies and hundreds of examples specifically designed around the challenges of the IELTS Speaking test, all from all in one in-depth, online interactive course. Together, we will create 14 language and grammar organisers based on the specific types of questions you will face in the IELTS Speaking test. When we're finished, you can follow your organisers to make coherent, extensive and high-band IELTS answers to any IELTS Speaking question! Watch dozens of answer analysis videos, where I*use the same language in this course to create high-band IELTS Speaking answers, and show you just how powerful and reliable the organisers are. Try 15 different Exam Simulations to get used to the real pressures and challenges of IELTS and then revise and recycle with dozens of extra practice activities and get my 1-on-1 feedback any time!Mark Teacher's IELTS Speaking System is the culmination of 10 years of IELTS tutoring, creating IELTS materials and helping students take control of their futures. Start today and be ready for everything you might face in your real IELTS*Speaking test!
Overview
Section 1: Course Introduction
Lecture 1 Introduction
Section 2: Part 1 - Unit 1 - Your Preferences
Lecture 2 Video 1 - Introduction
Lecture 3 Video #2 - Closed Answers
Lecture 4 Video #3 - Preference Phrases
Lecture 5 Video #4 - Context
Lecture 6 Negatives - New Target Language
Lecture 7 Emphasis - New Target Language
Lecture 8 Video #5 - Answer Analysis #1
Lecture 9 Video #6 - Evidence & Experiences
Lecture 10 Video #7 - Answer Analysis #2
Lecture 11 Exam Simulation - Your Preferences
Lecture 12 Download *all* Part 1 Homework Activities
Section 3: Part 1 - Unit 2 - Your Habits
Lecture 13 Video #1 - Introduction
Lecture 14 Video #2 - Habits Phrases
Lecture 15 Video #3 - Phrases & Grammar
Lecture 16 Video #4 - Answer Analysis #1
Lecture 17 Video #5 - Changes & Exceptions
Lecture 18 Video #6 - Answer Analysis #2
Lecture 19 Exam Simulation - Your Habits
Section 4: Part 1 - Unit 3 - Your Memories
Lecture 20 Video #1 - Introduction
Lecture 21 Video #2 - Memories Phrases
Lecture 22 Video #3 - Memories and Past Habits
Lecture 23 Video #4 - Grammar
Lecture 24 Video #5 - Past Obligations and Rules
Lecture 25 Video #6 - Answer Analysis #1
Lecture 26 Video #7 - Emergency Grammar!
Lecture 27 Video #8 - Time Phrases
Lecture 28 Video #9 - Answer Analysis #2
Lecture 29 Exam Simulation - Your Memories
Section 5: Part 1 - Unit 4 - Your Circumstances
Lecture 30 Video #1 - Introduction
Lecture 31 Video #2 - Nouns (Simple Method)
Lecture 32 Video #3 - Relative Clauses (Complex Method)
Lecture 33 Video #4 - 1st Conditional and multiple circumstances
Lecture 34 Video #5 - Answer Analysis
Lecture 35 Exam Simulation - Your Circumstances
Section 6: Part 1 - Unit 5 - Your Country
Lecture 36 Video #1 - Introduction
Lecture 37 Video #2 - How Common
Lecture 38 Video #3 - Trends
Lecture 39 Video #4 - Examples
Lecture 40 Video #5 - Conditionals
Lecture 41 Video #6 - Answer Analysis #1
Lecture 42 Video #7 - Generalising
Lecture 43 Video #8 - Adverbs
Lecture 44 Video #9 - Noun Phrases and Adverbial Phrases
Lecture 45 Video #10 - Answer Analysis #2
Lecture 46 Exam Simulation - Your Country
Lecture 47 Exam Simulation - Part 1 Review
Section 7: Part 2 - Unit 6 - Places
Lecture 48 Video #1 - Introduction
Lecture 49 Video #2 - Places + Details #1
Lecture 50 Video #3 - Places + Details #2
Lecture 51 Video #4 - Signposts
Lecture 52 Video #5 - Answer Analysis #1
Lecture 53 Video #6 - Defining Relative Clauses
Lecture 54 Video #7 - Non-Defining Relative Clauses
Lecture 55 Prepositions & Locations - New Target Language
Lecture 56 Recommendations & Signposts - New Target Language
Lecture 57 Video #8 - Answer Analysis #2
Lecture 58 Exam Simulation - Part 2: Places Cue Cards
Lecture 59 Download *all* Part 2 Homework Activities here
Section 8: Part 2 - Unit 7 - Dreams & Wishes
Lecture 60 Video #1 - Introduction
Lecture 61 Video #2 - Introducing Dreams and Wishes
Lecture 62 Video #3 - Hypothetical Answer Strategy
Lecture 63 Video #4 - Answer Analysis #1
Lecture 64 Video #5 - Imaginary Changes
Lecture 65 Video #6 - Answer Analysis #2
Lecture 66 Exam Simulation - Part 2: Dreams and Wishes Cue Cards
Section 9: Part 2 - Unit 8 - People
Lecture 67 Video #1 - Introduction
Lecture 68 Video #2 - Opinions and Reasons
Lecture 69 Video #3 - Similarities
Lecture 70 Video #4 - Habits
Lecture 71 Video #5 - Answer Analysis #1
Lecture 72 Video #6 - Contrasts
Lecture 73 Video #7 - Behaviour
Lecture 74 Video #8 - Impressions and Famous People
Lecture 75 Video #9 - Causative Verbs
Lecture 76 Video #10 - Answer Analysis #2
Lecture 77 Exam Simulation - Part 2: People Cue Cards
Section 10: Part 2 - Unit 9 - Experiences
Lecture 78 Video #1 - Introduction & Organiser
Lecture 79 Video #2 - Basic Signposts
Lecture 80 Video #3 - Advanced Starts
Lecture 81 Video #4 - Advanced Middles
Lecture 82 Video #5 - Advanced Endings
Lecture 83 Video #6 - Answer Analysis #1
Lecture 84 Video #7 - Context / Background #1
Lecture 85 Video #8 - Adverbs of Attitude
Lecture 86 Video #9 - Storytelling Adverbs
Lecture 87 Video #10 - Answer Analysis #2
Lecture 88 Video #11 - Context / Background #2
Lecture 89 Video #12 - Reactions
Lecture 90 Video #13 - Looking Forward and Back
Lecture 91 Video #14 - Answer Analysis #3
Lecture 92 Exam Simulation - Part 2: Experience Cue Cards
Section 11: Part 3 - Unit 10 - Closed Questions
Lecture 93 Video #1 - Introduction
Lecture 94 Video #2 - Answer #1
Lecture 95 Video #3 - Answers 2 ~ 3
Lecture 96 Video #4 - Answers 4 ~ 5
Lecture 97 Video #5 - Answers 6 ~ 7
Lecture 98 Exam Simulation - Part 3: Closed Questions
Lecture 99 Part 3 - Closed Questions - Homework
Section 12: Part 3 - Unit 11 - Why Questions
Lecture 100 Video #1 - Introduction
Lecture 101 Video #2 - Answers 1 ~ 2
Lecture 102 Video #3 - Answers 3 ~ 4
Lecture 103 Video #4 - Answers 5 ~ 6
Lecture 104 Video #5 - Answer 7 ~ 8
Lecture 105 Exam Simulation - Part 3: Why Questions
Lecture 106 Why Questions - Homework Activities
Section 13: Part 3 - Unit 12 - Comparison Questions
Lecture 107 Video #1 - Introduction & Organiser
Lecture 108 Video #2 - Answers 1 ~ 3
Lecture 109 Video #3 - Answers 4 ~ 5
Lecture 110 Video #4 - Answers 6 ~ 7
Lecture 111 Exam Simulation - Part 3: Comparison Questions
Lecture 112 Part 3 - Comparison Questions - Homework Activities
Section 14: Part 3 - Unit 13 - How Questions
Lecture 113 Video #1 - Introduction & Organiser
Lecture 114 Video #2 - Answers 1 ~ 2
Lecture 115 Video #3 - Answers 3 ~ 4
Lecture 116 Video #4 - Answers 5 ~ 6
Lecture 117 Video #5 - Answer 7
Lecture 118 Exam Simulation - Part 3: How Questions
Lecture 119 Part 3 - How Questions - Homework Assignments
Section 15: Part 3 - Unit 14 - Changes Questions
Lecture 120 Video #1 - Introduction
Lecture 121 Video #2 - Answers 1 ~ 2
Lecture 122 Video #3 - Answers 3 ~ 5
Lecture 123 Video #4 - Answers 6 ~ 7
Lecture 124 Video #5 - Answer 8
Lecture 125 Exam Simulation - Part 3: Changes Questions
Lecture 126 Part 3 - Unit 14 - Changes Homework Assignments
If you only the time and money to take *one* IELTS Speaking course and still be totally prepared for anything before your IELTS Speaking test - this is the course for you.

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 813.50 MB | Duration: 1h 52m

Learn about Mineral Processing Plant Simulation, Optimization & Design using JKSimMet Mineral Processing Simulator

What you'll learn
Mass balancing as a tool for plant design, optimization, metallurgical accounting and general data analysis.
Review of JKSimMet models, including cyclones, ball mills, SAG/AG mills, crushers and screens.
Incorporating laboratory breakage test results and pilot data into simulations aimed at new plant design or existing plant upgrades.
Application of the JKSimMet models to plant design and optimization
Fundamentals of Simulation technology.
Overview of JKSimMet and modelling of mineral processing unit operations.
Requirements
No modeling & simulation skills and knowledge is required. You will learn everything.
Description
Are you a student or professional in the field of Mining Engineering, Metallurgy, Chemical Engineering, Process Plant Designing, Metallurgical Engineering, or the science of Metals and have not been able to utilize process simulation software specific to Minerals processing industry, process modeling, simulation and optimization of real-world problems? Don't worry as THIS COURSE IS FOR YOU!This course will expose you to a software specific to Minerals industry with embedded mineral processing unit operations like Crushers, SAG Mills, Ball mills, Screens, Hydrocyclones etc. which are not found in other simulation softwares like ASPEN PLUS, ASPEN HYSYS, and DWSIM.In this course, students will be equipped with practical skills and knowledge of how to perform successful simulation studies of real world scenarios using JK-Simmet software. If you enroll in this course, you won't miss the hands-on appreciation of using JK-Simmet simulator as well as understanding the best practices of performing successful metallurgical simulation studies. If you are new to process modeling and simulation in metallurgical operations, don't worry anymore we have you covered, this course will first introduces you to the basics of mineral process simulation, followed by a series of step-by-step practical demonstrations. In recent years there has been a great deal of interest in ways to optimize the performance of mineral processing plants. The area of process analysis which has been most important for the mineral industry in the optimization of existing operations, both at steady-state and dynamically.In order to accomplish this optimization a variety of steady-state and dynamic models had to be developed for individual unit operations and overall plant performance. In turn these models had to be incorporated into computer packages like JKSIMMET which are user friendly enough to be useful to mineral processing engineers.Such softwares forms a powerful tool for the plant metallurgist to analyze and optimize the configuration of a current circuit. Simulation technology is very useful for new plant design, allowing any number of plant configurations to be compared rapidly.In this Course we are going to explore JKSimMet Mineral Process Simulator demonstrating how mass balancing, circuit simulation and circuit modelling.
Overview
Section 1: Overview of JK-Simmet Software
Lecture 1 Overview of Jk-Simmet
Lecture 2 Understanding "Equipment & Ports"
Lecture 3 Understanding Flowsheeting & "Project" & "Streams"
Lecture 4 Assignment 1: Flowsheeting & Setting Up feed
Section 2: Hands-on Case Study 1: Ball Mill & Cyclone Model
Lecture 5 Designing a Flowsheet Model
Lecture 6 Setting Up the Feed
Lecture 7 Setting-Up the Liquid Feeders
Lecture 8 Configuring the Hydrocyclone& Stream Data - Plant Survey Data/ Experimental Data
Lecture 9 Configuring the Ball Mill & Stream Data - Plant Survey Data/ Experimental Data
Junior & Seniour Metallurgists,Metallurgy Managers,Process Engineers,Chemical Engineers

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[mitsumi1]

Published 09/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 lectures (47m) | Size: 987 MB


What should you do to inject that needed energy and engagement into your online presentations or meetings?

What you'll learn
How to become a professional speaker
Be a more efficient presenter
How to present in a charismatic manner
How to structure your slides
What to do to engage your audience when presenting online
Requirements
This course is suitable for everyone from secure to insecure presenters.
Description
Have you ever fallen asleep during an online meeting or presentation?
You are not alone. Why are online presentations often so boring that you feel like closing your eyes just after a few minutes? That is what I have been thinking about too, and that is why I have made a course about what to do to stand out online. What you should do to make your listeners feel energised after your presentations and not have their energy sucked out of them.
A lot of people just copy what they do in a meeting room or class room, and do the same thing when giving a presentation or a course online. BAD IDEA! The online room is a different room, so we have to prepare for sharing our message in that specific room.
So, what to do? First of all, prepare well! Prepare your content and all the tech issues, rehearse like in a live presentation, standing up and looking into your camera.
People's attention span is also very short, so breaking up our content is VERY important, so add some interactions in there, like a poll or a WordCloud. Also remember to vary the way you present. Vary your slides (if using any), vary your language - share those stories of yours and vary the use of your voice. Monotony is a great way to get that snoring going.
Please join me on my journey to eliminate all the boring presentations out there! ???
Who this course is for
Anyone who presents to either a small group of colleagues or at large conferences
People who want to become more professional in their communication at work
Those who want to engage with their crowd and give memorable talks

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.37 GB | Duration: 4h 45m

Business email writing and email etiquette for communication with co-workers, your boss, and during sales

What you'll learn
Email communication with co-workers
Email communication for managers with employees
Email etiquette
Email productivity
Requirements
NA
Description
Approach email writing as a professional by doing two things:Become more productive in how you handle email that comes in and out.Improve your actual writing and communication style.BETTER*WRITING*OF*EMAILGrammar, word choice, the points we decide to make, and our eloquence in communication are a part of the quality of our writing. In this course, we'll go over word choices and deciding which points to prioritize. We'll also discuss how to write more eloquently and succinctly.You don't have to become a poet, but for professional communication, you do need to express yourself clearly and efficiently, and that's what we'll focus on in this course. Additionally, you must embrace the most boring part of writing, which is proofreading. We'll focus on proofreading strategies as well.EMAIL*PRODUCTIVItYEmail productivity is a big topic among busy professionals because we all want to spend less time reading, processing, and replying to email. Sure, it's nice to get email sometimes because some email carries good news like clients who want to pay or friends who want to hang out. But most of email is just other people adding tasks to our todo lists, and we want to be careful of that.Invest in your career! Enroll today!
Overview
Section 1: Welcome! And what to expect
Lecture 1 Welcome! And what to expect
Section 2: Writing email to co-workers or managers. Elite email writing to impress!
Lecture 2 Section introduction to writing professional emails
Lecture 3 Example of an email written between employees of the same company
Lecture 4 Example of a confused and convoluted email, and how to improve it
Lecture 5 Further explaining the previous lecture on not writing convoluted email
Lecture 6 Your out of office auto-response email script
Lecture 7 How to politely ask for something without the risk of offending them
Lecture 8 The error to avoid when writing short sentences
Lecture 9 Writing an email to co-workers or a manager - exercise
Lecture 10 Writing an email to co-workers or a manager - exercise answer
Section 3: Practice activity to sharpen your communication skills in difficult situations
Lecture 11 Activity to sharpen your communication skills: handling something you did wrong
Lecture 12 Activity answer for email communication skills: handling something you did wrong
Section 4: Additional attention to detail in your email and overall communication
Lecture 13 Making communication gender-inclusive
Lecture 14 How to start your email by professionally addressing the recipient
Lecture 15 Email subject line modifiers like urgent, action, or confidential
Lecture 16 What are memos and when to use memos vs. email vs. reports
Section 5: Writing for managers
Lecture 17 How to write as a manager - section introduction
Lecture 18 How to give employees more confidence with your communication
Lecture 19 How to give compliments and encouragement that resonates
Lecture 20 How to give employees instructions
Lecture 21 Maintaining a resource document library with employee instructions
Lecture 22 Creating a culture and dealing with whining or complaining employees
Section 6: Writing a sales cold email pitch. Email writing to potential clients
Lecture 23 Pitching section introduction
Lecture 24 How to approach your first potential client in a professional way
Lecture 25 Example of a highly-effective email pitch you can write
Lecture 26 Email follow up sequence
Lecture 27 Following up after a successful meeting
Lecture 28 Example of a bad pitch
Lecture 29 Example of a good pitch
Lecture 30 Writing email recap
Lecture 31 Exercise - writing a cold email pitch
Lecture 32 Exercise - writing a cold email pitch - answer
Section 7: Stylistic effects
Lecture 33 Using italics to emphasize importance, urgency, or emotion in a professional way
Lecture 34 Using bold text, caps, numbers and logical flow to emphasize important points
Section 8: Word choice
Lecture 35 Commonly misspelled words that spellcheck won't pick up - don't trust spellcheck
Lecture 36 10 weak words to take out of your writing and example of email to boss
Lecture 37 More weak words and phrases
Lecture 38 Example of using fewer words to communicate the same thing
Section 9: Proofreading
Lecture 39 Proofreading your writing
Lecture 40 Checklist for proofreading
Lecture 41 Use version revisions, suggestion feature, and other proofreaders
Lecture 42 Not re-reading what we expect and using different perspectives
Lecture 43 Proofreading exercise
Lecture 44 Exercise answer
Section 10: Gmail productivity
Lecture 45 Section introduction - how to be more productive with email (Gmail examples)
Lecture 46 Email productivity fundamentals that relate to personal development
Lecture 47 Professional photo icon
Lecture 48 Using templates in Gmail
Lecture 49 Use labels to properly organize your inbox
Lecture 50 Categories in Gmail and how they are different than labels
Lecture 51 Answering email on the go using voice to text
Lecture 52 Answering email in a split screen to go faster
Lecture 53 Stopping unwanted email
Lecture 54 Inbox 0 mindset and strategy
Lecture 55 Create rules to automatically filter emails
Lecture 56 Schedule emails instead of sending right away
Lecture 57 Schedule Meetings directly in Gmail
Lecture 58 Searching Gmail by attachment size to find which to delete to save space
Lecture 59 All Gmail search operators
Lecture 60 Teaching people who email you to send shorter messages
Section 11: Customer support email ticketing automation software
Lecture 61 Email support ticketing software signup
Lecture 62 Using the knowledge base in Zoho to speed up customer support
Lecture 63 Email templates in Zoho
Lecture 64 Mistake not to make with too much automation
Lecture 65 How to invite other agents and begin delegating customer support tickets
Lecture 66 Email ticketing section conclusion and last few features discussion
Section 12: Assertive communication
Lecture 67 Assertiveness section introduction
Lecture 68 Assertiveness definition
Lecture 69 Situations when it's difficult to know when and how much to be assertive
Lecture 70 Not an option - you need it so you are not passive aggressive later
Lecture 71 Example - being assertive working from home and getting others to be quiet
Lecture 72 Create limiting beliefs in others
Lecture 73 Example of saying no with courtesy and reinforcing it with a limiting belie
Lecture 74 Assertive communication exercise
Lecture 75 Assertive communication exercise - answer
Section 13: Conclusion
Lecture 76 Thank you for taking the course
Professionals

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[mitsumi1]

Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 498.04 MB | Duration: 1h 12m

Learn how to use PSCAD from scratch and be confident on performing power systems studeies

What you'll learn
Learn how to use PSCAD software and its features
Learn how to design basic circuits in PSCAD
Learn how to perform different simulations and plot the signals in PSCAD
Learn how to build a Wind Turbine Model from scratch
Requirements
Basic computers skills
Basic electrical engineering and power systems skills
Description
Time domain simulation software called PSCAD (Power Systems Computer Aided Design) is used to study transients in electrical networks. It is a set of applications that provide an electromagnetic transients software with a graphical, Unix-based user interface (EMTP). It also goes by the name PSCAD/EMTDC. It is a crucial component of PSCAD since it establishes the simulation software that comes with PSCAD with its library of power system component models and processes. Together, they offer a quick, adaptable, and precise answer for the time-domain program that is effective for modeling a range of electrical power system transients and control networks. The user-friendly PSCAD interface now allows engineers and end users to take advantage of EMTDC's functionality. This comprehensive visual environment provides circuit assembly, run-time control, analysis, and reporting while executing a simulation. In other words, PSCAD is a program that uses intelligent ways to computerize power quality assessments for increased efficiency and accuracy because manual analysis requires a lot of time and specialized expertise. In this course as well, it is time to move on to a more sophisticated topic addressing power systems after mastering the foundations and becoming comfortable in the PSCAD environment. A wind turbine will be built and linked to a synchronous permanent magnet generator and the grid through a completely bridged AC/DC/AC converter. Along with modeling the wind turbine, this course will also cover PSCAD's DC components, synchronous machines, and other features.
Overview
Section 1: Introduction
Lecture 1 PSCAD Main Interface Window
Section 2: Creating a project
Lecture 2 Creating New Project - Adjusting canva
Lecture 3 Creating New Project - Adjust Project Settings
Lecture 4 Modeling AC 3 Phase Source
Lecture 5 Modeling 3 Phase Load
Lecture 6 Connecting elements
Section 3: Dynamic Simulation
Lecture 7 Configure and perform dynamic simulation
Lecture 8 Logging signals
Lecture 9 Plotting in PSCAD
Section 4: Simulate a fault
Lecture 10 Diagram expansion
Lecture 11 Preparing fault and breaker
Lecture 12 Applying fault
Section 5: Sequences
Lecture 13 Creating and applying sequences
Electrical Engineers,Plant Control Engineers,Renewable Energy Engineer,Electrical Engineering students.

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[mitsumi1]

Published 09/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 66 lectures (5h 27m) | Size: 1.76 GB


Turn your basic Python into intermediate level Python skills and pass PCAP exam (Associate level)

What you'll learn
Take the next step in Python: from beginner to intermediate level
Prepare for PCAP-31-0x exam
Get intermediate Python skills for Software Development, Data Science, Machine Learning etc.
Apply for entry-level Python jobs
Code along with me for real-life programming practice
Create three practical programs
Requirements
Basic Python knowledge (PCEP-level knowledge)
A device with Internet access
Willingness to learn
Description
Welcome! My name's Adrian and I'm a professional Software Developer. If you already know basic Python and want to take another step with your skills, then you've just found an excellent course for that! Along the way, you will also create three practical Python programs!
According to statistics, Python is in the top 3 programming languages all around the world. It is much easier and quicker to learn that most other languages. At the same time, it's extremely popular among software developers, data analysts and other IT professions. All of this makes it an excellent choice for your first programming language.
COURSE OVERVIEW
In this course, you'll learn intermediate-level Python 3 and you'll get prepared for the Certified Associate in Python Programming exam (PCAP). You will need basic Python skills (entry-level PCEP exam knowledge) to start this course. I'll show you how to install Python and all the necessary tools.
In the videos, we dive straight into the code to get you started as quickly as possible. You'll get a chance to code along with me for the best learning experience. You'll also get to write three practical programs to practice your skills.
There are 5 exam blocks when you sit the PCAP exam. Consequently, this course has 5 main modules, each one focusing on a different exam block. At the end of each module, you'll have a chance to solve an exam quiz to check your skills.
This course also comes with a mock PCAP exam at the very end. It will have the same format as your actual exam, with the same passing grade and time limit. It will show you what kinds of questions you can expect.
COURSE ADVANTAGES
• concise - the short video lectures focus on the most important aspects: there are just a few hours of videos to get you started ASAP
• based on practice - instead of useless academic theory, you learn the best developing practices drawn from my work experience,
• reasonably priced - compared to stationary developer bootcamps, the course is much cheaper, so you save not only time but also money,
• available anywhere, anytime - the online form lets you run the course in the most convenient place (at home, work or in a café) and time (while commuting by metro or relaxing at home after work), so you can adjust it to your agenda,
• accessible on desktop, mobile and TV - you can display my lectures on the device of your choice, so you don't have to stick to your PC,
• certificate of completion - after completing the course, you will receive a printable certificate that will make your resume more attractive.
Who this course is for
People who want to pass the PCAP Associate-Level exam
People who passed the PCEP entry-level exam and want to continue studying
Beginners with some basic programming experience
Wanna-be software developers and data analysts
People who need intermediate Python for Machine Learning, Data Science and Artificial Intelligence

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nitroflare.com:
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1dl.net:
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