What you'll learn

Master Machine Learning
Regression modelling
knn algorithm
naive bayes algorithm
BPN(Back Propagation Network)
SVM(Support Vector Machine)
Decision Tree
Forecasting

Requirements

R programming
R studio should be installed already
Basic knowledge of programming
Basic knowledge of mathematics

Description

Inspired by the field of Machine Learning? Then this course is for you!

This course is intended for both freshers and experienced hoping to make the bounce to Data Science.

R is a statistical programming language which provides tools to analyze data and for creating high-level graphics.

The topic of Machine Learning is getting exceptionally hot these days in light of the fact that these learning algorithms can be utilized as a part of a few fields from software engineering to venture managing an account. Students, at the end of this course, will be technically sound in the basics and the advanced concepts of Machine Learning.

Who this course is for:

Freshers
Professionals
Anyone interested in machine learning