Cars_price_ML

Exploring and predicting the price of cars based on their features Using Python( Pandas, Statsmodels, Scikit, Matplotlib, and Scikit Learn packages)

1. Cleaning and wrangling the dataset.
2. Exploring the dataset and look for correlations.
3. Use visualization charts to emphasize different relationships.
4. Building a predictive linear regression model using Statsmodels.
5. Building a predictive machine learning (linear regression) model using Sci-kit learn.
6. Modeling using Radomforest Regressor, reaching 93% R2 score.