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My goal is to scrape and analyze data about competitive pokemon to automatically classify pokemon into tiers.
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.ipynb_checkpoints
K-Modes Models
data collection
tier data
Competitive-Pokemon-Analysis-and-Modelling.ipynb
Pokemon Tier Modelling.ipynb
README.md
kmodes-cost.pkl
move-data.csv
move_dist.png
pokemon-data.csv
tree.dot
type-chart.jpg

README.md

Competitive Pokemon Analysis

My goal was to scrape and analyze data about competitive pokemon then classify pokemon into tiers through machine learning. Recently, I added a notebook analyzing the pokemon tiers themselves, and modelled how a pokemon changes tiers through a markov chain.

The "data collection" folder the scripts used to scrape Smogon, Bulbapedia, and Veekun for the pokemon data. The "K-Modes Models" folder contains pickled versions of the k-modes with a varying number of modes for the move clustering.

You can read about the lessons I learned through this project here: https://medium.com/@nicholas.vadivelu/lessons-learned-from-analyzing-competitive-pokemon-82a9609dcd79

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