DP-100: A-Z Machine Learning using Azure Machine Learning (Udemy.com)

Hands on Machine Learning using Azure ML: Azure Machine Learning Studio to Advance ML Algorithms. No Coding Required.

( 50 Reviews )

Created by: Jitesh Khurkhuriya

Produced in 2022

What you will 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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 94 / 100

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Course 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

Time: 11h

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Instructor Details

Jitesh Khurkhuriya

4.7 Rating
50 Reviews

Learner and knowledge seeker for life with 20 years of technology experience.
As a Data Scientist, my first experience with "Big Data and Analytics" was in 2008. It was not called so during those days. :) Was member of the high-profile team to suggest tax reforms and amendments in VAT, Customs and Income Tax based on fraud pattern analysis, countrywide data mining and analysis, business process security analysis. This not only contributed to a revolutionary change in the tax processes but also reduced the tax and customs frauds.
As a seasoned leader in Digital Transformation, I develop, negotiate and execute strategies that generate high top and bottom line revenue streams. I have worked with fortune 500 companies as well as multiple government agencies.
I have always believed that technology need not be a big hammer but simply an enabler and problem solver.

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4.7

50 total reviews

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By Arvind Sabharwal on

Excellent course to learn ML using Microsoft Azure. The tool makes it easy for non programming professionals to understand and apply ML. Jitesh does a very good job of taking users through the concepts and the tool execution. Highly recommended course and instructor.

By Sanjan Rao on

Deployment with web services requires some more sessions as it is as much as important as Training models. Overall a good course for beginners.

By Jill Baber on

Great instructor (easy to follow, good examples), and I learned a lot. I liked the total number of hands-on learning modules--they really helped introduce and drill in the basics of Azure. I would have benefited from one or two additional hands-on text analytics examples; it's a more advanced topic, and I feel like I didn't come away really understanding that much about Azure text analytic capabilities.

By Akshay Bassi on

A very helpful and informative course which exposes you to Microsoft Azure and get's you started on your machine learning/data science journey

By Adelaide Matsika on

This is a great course that I will revisit every now and then to resharpen my knowledge as the instructor explains everything well.

By Matteo Ambrosi on

This course is very interesting and it's well explained by the author with clear and simple language. I'm a complete beginner of Machine Learning and I understood a lot of things. Thanks!

By Kash Rangan on

Thanks for making me machine learning literate. I was a little overwhelmed about machine learning before this course, but I am very confident after this course.

By Keith Bocian on

I had initially rated this at four stars but I went back to post a fifth because I felt this course significantly helped me to understand Azure ML Studio. The lectures were upbeat and thoughtfully composed. Thanks for a great course!

By Venkata Kiran Mahamkali on

Easy explanation. Instructor has put in a LOT of effort into this. Thoroughly enjoyed this course. Looking forward to the one on Data science using Python.

By Kiran Wadmare on

This course is great! especially in terms of lots of hands on sessions, and in-time introduction and detailing of key concepts, which makes learning much more engaging and faster. Loved it so far.

By Clint Brown on

It's not bad. The lectures are really good, but the "hands-on" material felt more like a demonstration and were very "follow-along." I think some challenge problems or homework sets would take this course to the next level.

By Antonio Juarez Alencar on

Obviously, I've not finished the course yet. Im about half way through. So far I have enjoyed the course very much. The contents is relevant and well presented. The author's pronunciation of some word are different from what could be called standard English. However, this is a minor point, as it doesn't prevent understanding. Actually, it reckon it makes the course more interesting.