July 9, 2020
Explored the data to find relationship between different independent variables. Performed feature selection to select the most suitable features. Performed feature engineering by handling missing values, detecting outliers and removing them. Trained a linear regression machine learning model using Scikit-learn. Optimized Linear, Lasso, and Decision Tree Regressors to reach the best model and the suitable Hyperparameter using GridSearchCV Built a client facing API using Flask GitHub Repository