In this problem, we’ll look at the monthly stock prices of five of these companies: IBM, General Electric (GE), Procter and Gamble, Coca Cola, and Boeing. The document contains analysis of Stock Trends for these five companies from Year 1970 to 2010.

This document comprises of Exploratory Data Analysis conducted on Bike Sharing Demand dataset. The document also comprises of Linear Regression Model which is built to predict the rental bike count based on different features.

Predicting Temperature based on different parameters.

Predicting Points Scored and Number of wins by each team in the game of NBA.

Using Regression Techniques predicting the price of wine.

Crime is an international concern, but it is documented and handled in very different ways in different countries. In the United States, violent crimes and property crimes are recorded by the Federal Bureau of Investigation (FBI). Additionally, each city documents crime, and some cities release data regarding crime rates. The city of Chicago, Illinois releases crime data from 2001 onward online. There are two main types of crimes: violent crimes, and property crimes. In this problem, we’ll focus on one specific type of property crime, called “motor vehicle theft” (sometimes referred to as grand theft auto). This is the act of stealing, or attempting to steal, a car. In this problem, I will use some basic data analysis in R to understand the motor vehicle thefts in Chicago.