Machine Learning: Complete course with practical approaches

Hey there, I am a professional ML engineer, working for a big US retail client, and worked on many complex problems with their solutions. This course is all about my experience and what I think is important for students to learn. Please join me and I hope you enjoy this course, the same way I did making this course for you.

In this course, we will be discussing ML algorithms along with detailed examples. We will also be discussing the final end project that will comprise building a real-life very common application.

This course not only targets very new people like students but also targets experienced professionals looking to increase their knowledge of ML.

The only expectation is you should know some basic Python programming and be able to install Python libraries like sklearn, pandas, scipy, etc, and Jupyter Notebook in which we have coded our solution.

We have divided this course into several sections each section will go first into detail in a given presentation which is free to download and use for your purpose and then that course fully goes into the demo which will increase your understanding of how to implement that in the Python library.

Once you figure out the pattern of the course we have developed it will be fairly easy that you can explore and search for your own solution and thought process to develop your project.

It’s an amazing journey that we can have, Let’s learn together and build a better world with Machine learning.

Statistics and mathematics

Data Preprocessing

Feature Engineering

Regression

Classification Algorithms

Unsupervised Learning

Time series Modelling concepts

Ensemble Learning

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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