Its a simple Machine Learning project using Linear Regression to find the "average_rating" for a given board game.
- Rows: 83000
- Columns: 20 (features)
- After analysing given 20 features, I choosed 2 features "average_weight" and "minage" because of their good correlation values.
Python is used here with libraries:
- pandas: for reading/writing csv files, dealing with dataframe object
- sklearn: for LinearRegression, cross validation, mean square error and correlations
- matplotlib: for plotting graphs
- Clone this repository.
- Run the following command:
python script.py