Predicting the Pokemon Card’s Hit Points from its Features

2025-09-21

Project Summary

This projects takes most pokemon cards that exists for the first generation Pokemons and create a linear regression with regularization to predict the hit points (HP) of these cards. In total there are 151 first generation pokemons and about 4574 total combined pokemon cards for all of them.

Project Plan

Data Collection
Clean and preprocess data
Seperate and categorize columns
Feature scale the data
Train the model
Evaluate the model

Required Python Packages

pip install matplotlib pandas scikit-learn seaborn

Project Notebooks

This project is broken into 4 main sections:

Data Collection and Preprocessing
Feature Engineering
Exploratory Data Analysis
Transforming, Scaling, and Fitting the Data