This notebook contains the analysis of California Housing Prices Dataset and prediction of prices given some features. Useful insights about the data are obtained through the analysis and plotting meaningfull plots using matplotlib. The notebook contains some advanced features of scikitlearn such as Pipelining, Columntransformer, cross_validation and gridsearch. Three types of regression models are used for the purpose of prediction Linear Regression, Decision Tree Regression and Random Forest Regression out of which Random Forest Regression was found to be the best model.