*The Complete Supervised Machine Learning Models in Python 4.6 (46 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.*

What you’ll learn

- Learn Complete Supervised Machine Learning Models in Python
- Learn the Math behind every Machine Learning Model
- Learn the Intuition of each Model
- Learn to make simple and GUI Based Templates
- Learn to choose the best Machine Learning Model for a specific problem

Requirements

- Basics of Python

Description

In this course, you are going to learn all types of **Supervised Machine Learning Models** implemented in **Python**. The** Math** behind every model is very important. Without it, you can never become a Good Data Scientist. That is the reason, I have covered the Math behind every model in the intuition part of each Model.

Implementation in Python is done in such a way so that not only you learn how to implement a specific Model in Python but you learn how to build real times templates and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate.

Who this course is for:

- Anyone who wants to learn Supervised Machine Learning Models
- Anyone who wants to learn the Math behind Machine Learning Models
- Anyone curious about Data Science

Software Engineer, Data Scientist and Entrepreneur

I am a Software Engineer, Data Scientist and Entrepreneur. I started coding when i was only 12. I love teaching to people who are curious to learn. I think Udemy is the platform which is going to be the hub of online education in the future so that is why i