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
- Basics of Python
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