MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 143 lectures (17h 37m) | Size: 6.9 GB

Become a real time professional Data Scientist by learning the intuition and Math Behind each Machine Learning Model

What you'll learn:

Learn Naive Bayes Models in R Programming Language

Learn the Math behind Naive Bayes Model Machine Learning Model

Learn the Intuition of Naive Bayes Model

Requirements

Basics of any programming language

Description

In this course, you are going to learn all types of Machine Learning Models implemented in R Programming Language. 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 R 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.

I am looking forward to see you in the course..

Best

Who this course is for

Anyone curious about learning the Naive Bayes Model in depth

Anyone who wants to learn the Math behind Naive Bayes Model