# Introduction to Machine Learning in R

Introduction to Machine Learning in R | Get Udemy Course

GETTING STARTED*An Introduction to Machine Learning with R. Laurent Gatto. 2020-02-28. Chapter 1 Preface. This course material is aimed at people who are already familiar with ...*

What you'll learn

- Understand the basics of neural networks
- Get a good grasp of machine learning fundamentals
- Learn the basics of R
- Learn the basics of machine learning techniques

Requirements

- No prior programming knowledge is needed

Description

This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very good guess about stock prices movement in the market.

**Section 1:**

R basics

data visualization

machine learning basics

**Section 2:**

linear regression and implementation

**Section 3:**

logistic regression and implementation

**Section 4:**

k-nearest neighbor classifier and implementation

**Section 5:**

naive bayes classifier and implementation

support vector machines (SVMs)

**Section 6:**

tree based approaches

decision trees

random forest classifier

**Section 7:**

clustering algorithms

k means clustering and hierarchical clustering

boosting

**Section 8:**

neural networks in R

feedforward neural networks and its applications

credit scoring with neural networks

Thanks for joining the course, let's get started!

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