Preprocessing data and building some models to predict passengers survival chances.

This Machine Learning model deals with Exploratory Data Analysis (EDA) for the prediction of housing prices in California. Custom transformation is performed for explicit cleaning of the data and feature extractions. Different regressor models are applied and evaluated using cross-validation scores, and are fine-tuned using Grid Search.