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3d-ai-tic-tac-toe

advanced-topics-python

Repo for myself to review advanced topics in Python.

afinn

AFINN sentiment analysis in Python

bellman-ford-algorithm

A java program that uses the Bellman-Ford algorithm to calculate the shortest path from a vertex to all other vertices. Even with negative weighted edges exist in the input graph, the algorithm can still compute the correct outputs (distances).

bloom-semantic-segmentation_deeplab

bmi-calculator

A simple calculator that allows users to put in their height and weight, then it computes the Body Mass Index of the user and also informs the user whether or not they are in the healthy range.

card-matching-game

code_snippets

comp551-final-project

csus---numpy-pandas-workshop

Sample code for Numpy and Pandas

disjointsets_and_mst

e-commerce-app

elasticsearch

Open Source, Distributed, RESTful Search Engine

flappybird-ai

ford-fulkerson-maximum-flow

Given a WGraph object (.txt file), the Ford-Fulkerson java class will compute the maximum flow of the graph's flow network. As long as there is a path from the source (start node) to the sink (end node), with available capacity on all edges in the path, we send flow along one of the paths. Then we find another path, and so on. A path with available capacity is called an augmenting path.

functional-programming-lazy_evaulation

imdb-sentiment-analysis

The goal of this Machine Learning project is to classify IMDb reviews as positive or negative based on the language they contain. Using Logistic Regression, SVM, and Decision Tree models as our classification algorithms in Sci-kit Learn.

java-design-patterns

Design patterns implemented in Java

journey_thru_mcgill

McGame Jam 2020 - Game

leetcode

😏 LeetCode solutions in any programming language

modified_mnist_cnn

Given a dataset of 50,000 images containing MNIST digits (handwritten numerical digits from 0 - 9), where each image may contain multiple digits with different sizes and orientations, our goal was to design and validate a supervised classification model to find which number occupied the most space in each image. By utilizing widely used convolutional neural networks, we started from a basic network and slowly made it more and more complicated to get a final desirable score of 0.9310 on our validation set.

naive_and_karatsuba

nba_3_point_boom

A mini Data Science project for myself to study on the 3 point boom in the NBA, also to make an estimation of how many three pointers a team should take in a game to benefit them to win. Written in Jupyter Notebook, and the dataset was downloaded from Kaggle.

plotly.py

An open-source, interactive graphing library for Python :sparkles:

pong-game

public-apis

📚 A public list of APIs from round the web.

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pytesseract

A Python wrapper for Google Tesseract

reddit_comment_popularity_predictor

According to wikipedia, Reddit is a social media platform for news aggregation, web content rating, and discussion. Members can submit content in the form of links, text posts, and images, which are then “upvoted” or “downvoted” by other members. In this project, we implemented and investigated the performance of linear regression model to predict the popularity of a comment on reddit.

simple-calendar

A C program that allows users to print a full year calendar in standard output. Instructions are in the README.md file.