Machine Learning with R!

In God we trust, all other brings data. - William Deming

---

How to read a data set into R. The web-link to your .csv file goes inside quotations.

IBM = read.csv(" ")

For python you could just do

import pandas as pd
IBM = pd.read_csv(" ")

If you don't have a link to the data, and it is saved on your computer in .csv format here is a website that shows you how to access it in R. The same will go for python. However, use the function

pd.read_csv()

I will analyze data from different data sets.

• This repo will show you how to plot, manipulate, and analyze data. And hopefully give you enough skills to go further.

This is a nice website for basic R commands for data analysis.

What you will find:

1. Analyzing .csv files
2. Linear Regression
3. Logistic Regression
4. Text Analytics (Sentiment Analysis using Twitter)
5. Hierarchical Clustering
6. Random Forest
7. CART models

much more to come

---

Want to learn machine learning?

1. I recommend Andrew Ng's Machine learning course. You could also find an updated version on coursera.
2. I recommend reading Introduction to Statisical learning with Applications in R.

• Really Awesome Book!

3. To be implemented with number 2 for way way way more (beneficial) theory is Elements of Statistical Learning.
4. Had to add this book on R. It is too good. Too good.