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Monica Aguilar's Projects

anime_genre_analyzer icon anime_genre_analyzer

This compares the number of anime released per genre in a given year (so in a way you'll know which genre was popular during that year). This reflects data by anichart.net, gathered from 1995 to 2016. This is purely for educational purposes only and is not meant make you realize, indirectly, that your favorite genre may somewhat slightly suck.

anime_genre_historical icon anime_genre_historical

This one takes a historical comparison of the number of anime released per genre across a specific period (measured in years).

facebook-page-post-scraper icon facebook-page-post-scraper

Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis

jurassicpasswordmanager icon jurassicpasswordmanager

A simple password manager I created with Python. It can store, add, delete, update, and retrieve passwords for people who save their memory bandwidth for things more important than their goddamn passwords.

libretaxi icon libretaxi

LibreTaxi, free and open source Uber/Lyft alternative to connect passengers and drivers.

minimax_tictactoe icon minimax_tictactoe

Play against a tictactoe machine that uses a minimax algorithm to determine its move. The machine is supposed to work 'intelligently' to ensure it wins or force a tie. It has a nasty quirk though. Have fun, human.

mugo icon mugo

Replicating AlphaGo's architecture in a readable manner

nonminimax-tictactoe icon nonminimax-tictactoe

This is a "semi-intelligent" tictactoe machine that I created without using minimax algorithm. This will serve as the basis of comparison for the other tictactoe game that I will write using minimax algorithm. Hold me.

poisson-as-limiting-binomial icon poisson-as-limiting-binomial

The following exercise is an attempt to explore the Poisson probability distribution function as well as minor data clean-ups using pandas.

recursion_test icon recursion_test

This is an exercise in recursion that a friend gave me for practice. It finds the maximum value, minimum value, and depth of a nested list of values. It also suggests the best "move" or "path" to take as if you are playing against an opponent who wants to minimize your wins or maximize you loss at every turn. This is a practice set for the minimax tictactoe game I'm building.

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