R for Data Analytics
2021-10-25
Preface
This is compilation of notes for R for Data Analytics.
There are three parts
Part-I covers the following topics
- Getting Started
- R Data Types & Data Structures
- A Short Introduction to R Programming
- Data Exploration: Preprocessing, Transformation
- Graphics in R
Part-II covers topics in Financial Modelling
- Linear Regression
- Panel Regression
- Technical Analysis
- VaR Forecasting and GARCH models
Part-III covers topics in Machine Learning
- Introduction to Sampling and Resampling methods
- Introduction to Logistic Regression and K-Nearest Neighbour
- Machine Learning: CART (Classification & Regression Trees)
- Text Mining example
The data files used in these notes are available here https://github.com/singh1985/rforanalytics/tree/master/data