[FreeTutorials.Us] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)

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Azure ML (Machine Learning): Azure Machine Learning Studio, Machine Learning on cloud, Machine Learning without coding

BESTSELLER

Created by : Jitesh Khurkhuriya, Jitesh's Data Science & Machine Learning Team
Last updated : 11/2019
Language : English
Subs + Caption : Included
Course Source : https://www.udemy.com/course/machine-learning-using-azureml/

What you'll learn

• Master Data Science and Machine Learning Models using Azure ML.
• Understand the concepts and intuition of Machine Learning algorithms
• Build Machine Learning models within minutes
• Choose the correct Machine Learning Algorithm using the cheatsheet
• Deploy production grade Machine Learning algorithms
• Deploy Machine Learning webservices in the simplest form possible including excel
• Bring in great value to business you manage

Course content
all 89 lectures 10:51:18

Requirements

• Basic Math is good enough. This course does not require background in Data Science. Will be great if you have one.
• Free or paid subscription to Microsoft Azure is required. It may ask for Phone and/or Credit Card for verification

Description

Machine Learning is one of the hottest and top paying skills. It's also one of the most interesting field to work on.

In this course of Machine Learning using Azure Machine Learning, we will make it even more exciting and fun to learn, create and deploy machine learning models. We will go through every concept in depth. This course not only teaches basic but also the advance techniques of Data processing, Feature Selection and Parameter Tuning which an experienced and seasoned Data Science expert typically deploys. Armed with these techniques, in a very short time, you will be able to match the results that an experienced data scientist can achieve.

This course will help you prepare for the entry to this hot career path of Machine Learning as well as the Azure DP-100: Azure Data Scientist Associate exam.

This course has more than 80 lectures and is over 11 hours in content. That simply means, we go through the details of Data Science and Machine Learning along with its implementation. Almost every topic has a hands-on lab that you can practice. I have dealt with almost all scenarios during my tenure with various governments across the world and Fortune 500 companies.

I am committed to and invested in your success. I have always provided answers to all the questions and not a single question remains unanswered for more than a few days. The course is also regularly updated with newer features.

Learning data science and then further deploying Machine Learning Models have been difficult in the past. To make it easier, I have explained the concepts using very simple and day-to-day examples. Azure ML is Microsoft's way of democratizing Machine Learning. We will use this revolutionary tool to implement our models. Once learnt, you will be able to create and deploy machine learning models in less than an hour using Azure Machine Learning Studio.

Azure Machine Learning Studio is a great tool to learn to build advance models without writing a single line of code using simple drag and drop functionality. Azure Machine Learning (AzureML) is considered as a game changer in the domain of Data Science and Machine Learning.

This course has been designed keeping in mind entry level Data Scientists or no background in programming. This course will also help the data scientists to learn the AzureML tool. You can skip some of the initial lectures or run them at 2x speed, if you are already familiar with the concepts or basics of Machine Learning.

The course is very hands on and you will be able to develop your own advance models while learning,

Advance Data Processing methods

Statistical Analysis of the data using Azure Machine Learning Modules

MICE or Multiple Imputation By Chained Equation

SMOTE or Synthetic Minority Oversampling Technique

PCA; Principal Component Analysis

Two class and multiclass classifications

Logistic Regression

Decision Trees

Linear Regression

Support Vector Machine (SVM)

Understanding how to evaluate and score models

Detailed Explanation of input parameters to the models

How to choose the best model using Hyperparameter Tuning

Deploy your models as a webservice using Azure Machine Learning Studio

Cluster Analysis

K-Means Clustering

Feature selection using Filter-based as well as Fisher LDA of AzureML Studio

Recommendation system using one of the most powerful recommender of Azure Machine Learning

All the slides and reference material for offline reading

You will learn and master, all of the above even if you do not have any prior knowledge of programming.

This course is a complete Machine Learning course with basics covered. We will not only build the models but also explain various parameters of all those models and where we can apply them.

In this course, we will start with some basic terms which are used very frequently in machine learning.

I will also explain

What is Machine Learning and some real world examples.

Azure Machine Learning Introduction

Provide an overview of Azure Machine Learning Studio and high level architecture.

We would also look at

Steps for building an ML model.

Supervised and Unsupervised learning

Understanding the data and pre-processing

Different model types

The AzureML Cheat Sheet.

How to use Classification and Regression

What is clustering or cluster analysis

KDNuggets one of the leading forums on Data Science calls Azure Machine Learning as the next big thing in Machine Learning. It further goes on to say, "people without data science background can also build data models through drag-and-drop gestures and simple data flow diagrams."

Azure Machine Learning's library has many pre-built models that you can re-use as well as deploy them.

This course will also be a great help in preparing for the Microsoft 70-774 exam-Perform Data Science on Cloud using Azure Machine Learning. It covers almost all the topics of Azure Machine Learning.

So see you inside the course.

Who this course is for :

• Developers who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning
• Business Analysts who want to apply Data Science to solve business problems
• Functional Experts who can take help of Machine Learning and build/test their hypothesis quickly
• Anyone who wants to learn Machine Learning
• Students and non-technical professionals who want to start a career in Machine Learning
• Business Process Managers who want to automate their processes or decision making
• Marketing professionals who want to apply machine learning for better predictions of sales, conversion, churn.

File list

[FreeTutorials.Us] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)
0. Websites you may like/How you can help Team-FTU.txt 229 B
1. Basics of Machine Learning/1. What You Will Learn in This Section.mp4 19.2 MB
1. Basics of Machine Learning/1. What You Will Learn in This Section.srt 2.6 KB
1. Basics of Machine Learning/1. What You Will Learn in This Section.vtt 2.3 KB
1. Basics of Machine Learning/2. The course slides for all sections.html 336 B
1. Basics of Machine Learning/2.1 Section 01 - Basics of Machine Learning.pdf.pdf 1.8 MB
1. Basics of Machine Learning/2.10 Section 05 - Tune Hyperparameter.pdf.pdf 1.2 MB
1. Basics of Machine Learning/2.11 Section 11 - Recommendation System.pdf.pdf 3.1 MB
1. Basics of Machine Learning/2.12 Section 10 - Feature Selection.pdf.pdf 2.9 MB
1. Basics of Machine Learning/2.13 Section 03 - Data Pre-processing.pdf.pdf 1 MB
1. Basics of Machine Learning/2.14 Section 09 - Data Processing.pdf.pdf 2.8 MB
1. Basics of Machine Learning/2.2 Section 06 - Deploy Webservice.pdf.pdf 702.4 KB
1. Basics of Machine Learning/2.3 Section - Text Analytics.pdf.pdf 2 MB
1. Basics of Machine Learning/2.4 Section 02 - Getting Started with AzureML.pdf.pdf 2.7 MB
1. Basics of Machine Learning/2.5 Section 07 - Regression.pdf.pdf 2.8 MB
1. Basics of Machine Learning/2.6 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf 1.4 MB
1. Basics of Machine Learning/2.7 Section 08 - Clustering.pdf.pdf 1.5 MB
1. Basics of Machine Learning/2.8 Section 04 - Classification - 003 - SVM.pdf.pdf 1.1 MB
1. Basics of Machine Learning/2.9 Section 04 - Classification - 002 - Decision Tree.pdf.pdf 3.4 MB
1. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4 19.2 MB
1. Basics of Machine Learning/3. Important Message About Udemy Reviews.srt 4.2 KB
1. Basics of Machine Learning/3. Important Message About Udemy Reviews.vtt 3.7 KB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 68.7 MB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.srt 10.1 KB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.vtt 9.2 KB
1. Basics of Machine Learning/5. What is Machine Learning.mp4 18.5 MB
1. Basics of Machine Learning/5. What is Machine Learning.srt 10.7 KB
1. Basics of Machine Learning/5. What is Machine Learning.vtt 9.7 KB
1. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.mp4 13.6 MB
1. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.srt 7.9 KB
1. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.vtt 7.1 KB
1. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4 13.3 MB
1. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.srt 8.3 KB
1. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt 7.5 KB
1. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4 19 MB
1. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.srt 10 KB
1. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.vtt 9.2 KB
1. Basics of Machine Learning/9. Basics of Machine Learning.html 140 B
10. Feature Selection - Select a..highest impact/1. Feature Selection - Section Introduction.mp4 7.7 MB
10. Feature Selection - Select a..highest impact/1. Feature Selection - Section Introduction.srt 6.9 KB
10. Feature Selection - Select a..highest impact/1. Feature Selection - Section Introduction.vtt 6.2 KB
10. Feature Selection - Select a..highest impact/2. Pearson Correlation Coefficient.mp4 47.2 MB
10. Feature Selection - Select a..highest impact/2. Pearson Correlation Coefficient.srt 7.5 KB
10. Feature Selection - Select a..highest impact/2. Pearson Correlation Coefficient.vtt 6.6 KB
10. Feature Selection - Select a..highest impact/3. Chi Square Test of Independence.mp4 8.3 MB
10. Feature Selection - Select a..highest impact/3. Chi Square Test of Independence.srt 6 KB
10. Feature Selection - Select a..highest impact/3. Chi Square Test of Independence.vtt 5.4 KB
10. Feature Selection - Select a..highest impact/4. Kendall Correlation Coefficient.mp4 6.7 MB
10. Feature Selection - Select a..highest impact/4. Kendall Correlation Coefficient.srt 4.4 KB
10. Feature Selection - Select a..highest impact/4. Kendall Correlation Coefficient.vtt 4 KB
10. Feature Selection - Select a..highest impact/5. Spearman's Rank Correlation.mp4 6.4 MB
10. Feature Selection - Select a..highest impact/5. Spearman's Rank Correlation.srt 4 KB
10. Feature Selection - Select a..highest impact/5. Spearman's Rank Correlation.vtt 3.6 KB
10. Feature Selection - Select a..highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4 13.2 MB
10. Feature Selection - Select a..highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.srt 7.8 KB
10. Feature Selection - Select a..highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt 7.1 KB
10. Feature Selection - Select a..highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4 6.4 MB
10. Feature Selection - Select a..highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.srt 3.9 KB
10. Feature Selection - Select a..highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt 3.5 KB
10. Feature Selection - Select a..highest impact/8. Fisher Based LDA - Intuition.mp4 24.1 MB
10. Feature Selection - Select a..highest impact/8. Fisher Based LDA - Intuition.srt 5.5 KB
10. Feature Selection - Select a..highest impact/8. Fisher Based LDA - Intuition.vtt 5 KB
10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 61.1 MB
10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.srt 6.5 KB
10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.vtt 5.8 KB
10. Feature Selection - Select a..highest impact/9.1 Wine-Low-Medium-High.csv.csv 95.4 KB
11. Recommendation System/1. What is a Recommendation System.mp4 35 MB
11. Recommendation System/1. What is a Recommendation System.srt 16.1 KB
11. Recommendation System/1. What is a Recommendation System.vtt 14.6 KB
11. Recommendation System/2. Data Preparation using Recommender Split.mp4 14.9 MB
11. Recommendation System/2. Data Preparation using Recommender Split.srt 8 KB
11. Recommendation System/2. Data Preparation using Recommender Split.vtt 7.3 KB
11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.mp4 14.6 MB
11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.srt 8 KB
11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.vtt 7.3 KB
11. Recommendation System/4. How to Score the Matchbox Recommender.mp4 10.9 MB
11. Recommendation System/4. How to Score the Matchbox Recommender.srt 5.7 KB
11. Recommendation System/4. How to Score the Matchbox Recommender.vtt 5.2 KB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 36.2 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.srt 12.6 KB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.vtt 11.3 KB
11. Recommendation System/6. Understanding the Matchbox Recommendation Results.mp4 17.4 MB
11. Recommendation System/6. Understanding the Matchbox Recommendation Results.srt 8 KB
11. Recommendation System/6. Understanding the Matchbox Recommendation Results.vtt 7.2 KB
11. Recommendation System/7. Recommendation System.html 141 B
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 44.8 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.srt 8.4 KB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.vtt 7.4 KB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 54.6 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.srt 15.2 KB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.vtt 13.2 KB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 50 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.srt 8.6 KB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.vtt 7.6 KB

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