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LifestyleMachine Learning in Python: From Zero to Hero in 10 Hours (Udemy.com)
Machine Learning & Data Science in Python with real life projects. Source codes included.
Created by: Sanjay Singh
Last updated April 2026
What you will learn
- Make predictions using Simple, Polynomial, and Multinomial Linear Regression
- Classify data using Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree, Naive Bayes, and Ensemble Modeling.
- Data Visualization with MatPlotLib and Seaborn
- Use train, test and Cross Validation to choose and tune data
- Feature Engineering (Reduce Noise, Outliers) and Data Preprocessing
- Practical examples of How to trade-off between Bias and Variance
- Real life projects for hands-on practice
- All the source codes are made available to you for your use
- Understand Reinforcement Learning
- Understand how to implement Machine Learning at massive scale
- Understand Tensor Flow and Keras
- Understand math and statistics behind Machine Learning models
How it compares
Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:
- Rating4.5 out of 5higher than 62% of them
- Reviews78#130 of 156 by number of reviews
- Length8.1 hourslonger than 55% of them
- Last updatedApril 2026more recently than 82% of them
Quality Score
Overall Score : 90 / 100
Course Description
From basic concepts about Python Programing, Supervised Machine Learning, Unsupervised Machine Learning to Reinforcement Machine Learning, Natural Language Processing (NLP), this course covers it all you need to know to become a successful Machine Learning Professional!
But that's not all! Along with covering all the steps of Machine Learning functions, this course also has quizzes and projects, which allow you to practice the things learned throughout the course!
You'll not only learn about the concepts, but also practice each of those concepts through hands-on and real life Projects.
And if you do get stuck, you benefit from an extremely fast and friendly support - both via direct messaging or discussion. You have my word!
With more than two decades of IT experience, I have designed this course for students and professionals who wish to master how to develop and support industry standard Machine learning projects.
This course will be kept up-to-date to ensure you don't miss out on any changes once Machine Learning is required in your project!
Why Machine Learning?
In modern times, Machine Learning is one of the most popular (if not the most!) career choices. According available data, Machine Learning Engineer Is The Best Job of 2019 with a 344% growth and an average base salary of $146,085 per year.
If you are looking for a thriving career in Data Analytics, Artificial Intelligence, Robotics, this is the right time to learn Machine Learning.
Get a very deep understanding of Machine Learning!Who this course is for:
- Students and professionals who want to become Machine Learning Expert or Data Scientist.
- IT Professionals, Mathematicians, Statisticians.
- Machine learning enthusiasts.
- Project Managers, Data Analytics, and Business Intelligence Professionals.
- Python developers.
Udemy Discount
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Instructor Details
- 4.5 Rating
78 Reviews
Sanjay Singh
Hi, I am Sanjay!
I am IIT Bombay graduate with more than two decades of IT experience. You can call me a curious guy with fascination for Data and Machine Learning.
I have led several business transformation projects for Infosys, Toshiba, Canon, Fujitsu, and Sanrusha across Europe, USA, Canada, and India.
I love teaching IT technologies.I have been teaching to my students, project team mates, customers. My students are working for several Fortune 500 companies.
All my courses are backed by several years of experience on those technologies.
Enjoy the courses. I look forward to wonderful association with you!
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4.1 (2,038 Reviews)
Provider: Udemy
Time: 6.5h
$11.99
Reviews
So far so good! This course is doing an excellent job in explaining machine learning in easy language.
It is a great course for anyone who wants to make a career in machine learning. The concepts are very well explained and the instructor has a good command over the subject which he explains in a lucid way.
I learned a lot of machine learning algorithms ranging from types of regression to support vector machine. The bonus lecture of Bayes' theorem was cherry on top.
Along with hands-on practices I like the way instructor has explained concepts in simple layman language. I have not found such a easy explanation of Naive Bayes theorem anywhere else.
- Video Duration:
8.1h - Price: $69.99
- Provider: Udemy
- Updated:
April 2026 - Level:
All Levels - Language:
English - Certificate:
Yes
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