Predicting Board Games Reviews

Introduction

Its a simple Machine Learning project using Linear Regression to find the "average_rating" for a given board game.

Data Set

1. Rows: 83000
2. Columns: 20 (features)
3. After analysing given 20 features, I choosed 2 features "average_weight" and "minage" because of their good correlation values.

Programminig Language

Python is used here with libraries:

1. pandas: for reading/writing csv files, dealing with dataframe object
2. sklearn: for LinearRegression, cross validation, mean square error and correlations
3. matplotlib: for plotting graphs

How To Use?

1. Clone this repository.
2. Run the following command: python script.py