INTRODUCTION TO MACHINE LEARNING ASSIGNMENT ASSIGNMENT 1 Machine

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INTRODUCTION TO MACHINE LEARNING ASSIGNMENT

INTRODUCTION TO MACHINE LEARNING ASSIGNMENT

ASSIGNMENT #1 • Machine Learning can be done either in R or in Python.

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 ggplot 2 rpart. plot rattle corrgram • For Python, use Win. Python 3. 5+ to install on Windows. You can choose any other instalaltion package as long as it comes with pandas, numpy and scikit-learn.

ASSIGNMENT#2 Read the file from framework installed Draw two kinds of graphs atleast. •

ASSIGNMENT#2 Read the file from framework installed Draw two kinds of graphs atleast. • • • Histogram Boxplot Scatter. Plot Line. Plots color-coded Line. Plots for each state (something like in picture) Answer the following questions: • Which State has the highest rate of growth between 1990 -2000. • Which State has the highest loss in 2008 financial crisis in volumes based on this data.

ASSIGNMENT#3 • Try to divide the earlier loaded data into Assignment#2 into training and

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?