Regression analysis on Boston housing data and California Housing Prices. In depth regression analysis on both dataset seperately.
• Built a model to predict the value of a given house in the Boston real estate market by utilizing statistical methods.
• Use various statistical analysis tools such as Cross Validation, Learning Curves, Grid Search etc.
• Built a model to predict median house value in a perticular district by utilizing statistical methods.
• Analysis using various visualization techniques.
• Tested various supervised learning algorithms using Cross validation and RandomizedSearchCV.