Machine Learning Essentials - Master core ML concepts

Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!

4.62 (278 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Jumpstart the world of AI & ML

Maths of Machine Learning

Regression & Classification Techniques

Linear & Logistic Regression

K-Nearest Neighbours, K-Means

Naive Bayes, Text Classification

Decision Trees & Random Forests

Ensemble Learning - Bagging & Boosting

Dimensionality Reduction

Neural Networks

8+ Hands on Projects

Why take this course?

Read to jumpstart the world of Machine Learning & Artificial intelligence?

This hands-on course is designed for absolute beginners as well as for proficient programmers who want kickstart Machine Learning for solving real life problems. You will learn how to work with data, and train models capable of making "intelligent decisions"

Data Science has one of the most rewarding jobs of the 21st century and fortune-500 tech companies are spending heavily on data scientists! Data Science as a career is very rewarding and offers one of the highest salaries in the world. Unlike other courses, which cover only library-implementations this course is designed to give you a solid foundation in Machine Learning by covering maths and implementation from scratch in Python for most statistical techniques.

This comprehensive course is taught by Prateek Narang & Mohit Uniyal, who not just popular instructors but also have worked in Software Engineering and Data Science domains with companies like Google. They have taught thousands of students in several online and in-person courses over last 3+ years.

We are providing you this course to you at a fraction of its original cost! This is action oriented course, we not just delve into theory but focus on the practical aspects by building 8+ projects.

With over 170+ high quality video lectures, easy to understand explanations and complete code repository this is one of the most detailed and robust course for learning data science.

Some of the topics that you will learn in this course.

Logistic Regression
Linear Regression
Principal Component Analysis
Naive Bayes
Decision Trees
Bagging and Boosting
K-NN
K-Means
Neural Networks

Some of the concepts that you will learn in this course.
- Convex Optimisation
- Overfitting vs Underfitting
- Bias Variance Tradeoff
- Performance Metrics
- Data Pre-processing
- Feature Engineering
- Working with numeric data, images & textual data
- Parametric vs Non-Parametric Techniques

Screenshots

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Reviews

Jaco

July 4, 2023

I am actually a AI/ML specialist, holding a PhD in Computer Science and even I am enjoying this and learning! Much of this I already know, but there are lots of little things that I have forgotten or never did. The two lecturers are great in what they do, explaining the concepts really well.

Aditya

May 18, 2023

I found this by luck and the way he explains is simple and easy to understand and what makes this more interesting is the projects which gives an understanding of the application of theory we learn out in the real world

Minh

April 24, 2023

hi, could you please create slides similar to the C++ courses you have previously released? I found the dark background color of the slides more eye-friendly, and I can look at them for longer periods of time. I have taken your C++ course and have become accustomed to this format. The white background with black text is not good for my myopic eyes, and I have difficulty concentrating on the material. I have also taken a bit of your machine learning course, but the white background used in that course causes my eyes to tire more quickly than usual, making it difficult for me to concentrate and complete the course. I still appreciate the high-quality images used in your C++ course. Besides, the subtitles of the Coding Minutes courses are often incorrect, and I really hope that you can fix them as soon as possible. It is very difficult for me to learn without accurate subtitles, I am studying at a slow pace and not fully absorbing the material due to the issue of incorrect subtitles. Thank so much!

Shubham

April 19, 2023

Perfect start for beginners.. Quite an extensive range of topics covered ... Explains the working and intuition behind each... Code discussions...Community support...Great Correlated explainations with real world for somewhat difficult topics like gradient descent, etc..Must recommend for beginners. :)

Harsha

March 26, 2023

Each concept is very well explained and I really like the intro to deep learning section (neural networks).

Divyam

March 3, 2023

I recently completed the Machine Learning course by Prateek Narang, and I must say, it was an exceptional experience. I would definitely give this course a 5-star rating. The course was well-structured and covered all the fundamental topics of Machine Learning, starting from the basics of statistics to advanced topics like Neural Networks. The instructor, Prateek Narang, explained each topic in detail with clear examples, making it easy for me to grasp even the most complex concepts. One of the best things about this course was the practical approach that was taken. Throughout the course, I had the opportunity to work on various real-world projects, which helped me understand how Machine Learning can be applied in different industries. The course also provided me with hands-on experience with popular Machine Learning libraries. Overall, I would highly recommend this course to anyone who wants to learn Machine Learning from scratch or wants to deepen their understanding of the subject. The quality of the content and the instructor's teaching style make it a great learning experience. I am very satisfied with the course and the skills I gained from it.

Pawananjani

February 28, 2023

This course is a must for beginners in ML and AI field. It starts from the very basic mathematics and ends up explaining all ml algorithms from scratch. Additionally it also covers the standard library implementations of these algorithms.

Govind

February 28, 2023

This course is the best courses on Artificial Intelligence and Machine Learning. This course is designed for beginners as well as working professionals who want to upscale their skills in the field of AI/ML. If you really interested in the field of ML, then you should surely consider buying this course.

Manya

February 26, 2023

This is just awesome!! It helped me to develop my interest in ML I really waited too long for this. My semester project is definitely benefiting from the material of this course, which has made me quite happy and satisfied overall. The tutors of this course deserve a sincere thank you. The most anticipated course of all time is this one.

Sneh

February 25, 2023

All the concepts were well explained.Excellent in-depth course with lots of practical examples. I like how he illustrates the theory, goes into the technical detail and then provides examples. Covers all of the major topics too.

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