House Price Prediction and Deployment using Flask Server
- 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
