1. INTRODUCTION TO Machine Learning
Assignment

2. Assignment #1 Machine Learning can be done either in R or in Python.
Choose your language and framework.
For R, Caret is framework advised. For Python, scikit-learn is advised.
Install the respective language and framework
For R, install R first and then Rstudio. Then type command to install caret. Caret is Machine Learning framework in R. install.packages(‘caret’). Install other relevant packages:
caret ggplot2 rpart.plot rattle corrgram
For Python, use WinPython 3.5+ to install on Windows. You can choose any other instalaltion package as long as it comes with pandas, numpy and scikit-learn.

3. Assignment#2 Read the file from framework installed
Draw two kinds of graphs atleast.
Histogram
Boxplot
ScatterPlot
LinePlots color-coded
LinePlots for each state (something like in picture)
Answer the following questions:
Which State has the highest rate of growth between
Which State has the highest loss in 2008 financial crisis in volumes based on this data.

4. Assignment#3
Try to divide the earlier loaded data into Assignment#2 into training and testing set using relevant framework
Clean junk data
Find Correlation between Various columns.
Finalize the list of features you want to use.
Can you reason out why 2008 Financial crisis from the given data set without Machine Learning?