The Complete Supervised Machine Learning Models in R
Learn the Intuition and Math behind Every Model with it's implementation in R Programming Language
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What You Will Learn!
- Learn Complete Supervised Machine Learning Models in R
- Learn the Math behind every Machine Learning Model
- Learn the Intuition of each Model
- Learn to choose the best Machine Learning Model for a specific problem
Description
In this course, you are going to learn all types of Supervised 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 R Programming Language but you learn how to build real times models 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.
The Data Part is very important in Training any Machine Learning Model. If the Data Contains Useless Entities, it will take down the Precision Level of your Machine Learning Model. We have covered many techniques of how to make high quality Datasets and remove the useless Entities so that we can get high quality and trustable Machine Learning Model. All this is done in this Course.
Hence, by taking this course, you will feel mastered in all types of Supervised Machine Learning Models implemented in R Programming Language.
I am looking forward to see you in the course..
Best
Who Should Attend!
- Anyone who want to Learn Complete Supervised Machine Learning Models in R
- Anyone who want to Learn the Math behind every Machine Learning Model
- Anyone who want to Learn the Intuition of each Model
- Anyone who want to Learn to choose the best Machine Learning Model for a specific problem