mattmotoki / toxic-comment-classification

Solution for the Kaggle Toxic Comment Classification Challenge

A Biology-Inspired Board Game with an AI Opponent

• Play the Game Here

• My blog post on Cell Division

How to Play

Player take turns placing their cells. A player’s cells divide when they connect with each other; vertical, horizontal and diagonal connections are allowed. Your score is equal to the total number of cells that you have on the board. The game ends when the board is full. The winner is the player with the most cells.

Implementation

The game is written primarily in plain JavaScript, HTML5, and CSS3.

The only external library used is howler.js, which is used to add retro soundeffects.

The scoring cell animation and statistics graphics were done using HTML canvases.

The cell design was done using base R graphics.

The AI opponent is greedy with respect to some scoring metric.

TODO

Create a Deep Reinforcement Learning Agent

toxic-comment-classification's Issues

missing create_tfidf_features.py file

Thanks for sharing a detailed README for toxic comment classification. I saw the following issue when I tried to run it,

It appears that the file create_tfidf_features.py is missing which is required by prepare_toxic.sh