Project on predicting the price of the used cars with respect to various features Performed:
EDA Data Preprocessing Scaling -> Normalization - using Minmax scaling Handling Missing Values Data Imputation Univariate and Multivariate Analysis Modelling and Prediction
- Linear Regression
- Ridge Regression
- Lasso Regression
- Random Forest Regression