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100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

bayesianexploration

Messing around with Bayesian Modeling Techniques using the RJAGS package

braintumorcnn

A simple Convolutional Neural Network trained to classify Brain Tumor Images in Tensorflow/Keras

braintumorsgan

data-i-o-2020-team-buckeyedata-

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans-awesome-applications

Curated list of awesome GAN applications and demo

goatanalysis

EDA on the career statistics between Michael Jordan, Kobe Bryant, and Lebron James

headset

Headset Model Project

heartdisease

Predicting Heart Disease severity with Scikit-Learn

icemachine

A project which models the functionality behind an ice and water system within a refrigeration unit

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

mutscraper

Simple web crawler to scrape data on the top 80 players from the Madden 21 Ultimate Team Database.

mvpfeatureextraction

Feature Extraction techniques for finding out what makes a player the most valuable

ncaa-basketball-wins

Predicting the number of wins for NCAA basketball teams with Scikit-Learn

nfldatabowl2021

pitchtypeclassification

Short, beginning-to-end project to clean Trackman data and categorize that data into pitch types.

python-interview-tricks

A collection of useful python data structures, tricks, and must-knows for coding interviews

pytorch-cnn-example

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch_tutorial

PyTorch Tutorial (1.7)

redditscraper

reddittopicmodeling

Topic Modeling and Sentiment Analysis for BDAART Research teams

skglm

Fast and modular sklearn replacement for generalized linear models

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

streamlit-fastapi-model-serving

Simple web app example serving a PyTorch model using streamlit and FastAPI

tda-and-neuro

website of the CSE 5339 class on TDA and Neuroscience

timeseriesclassification

A repository for end to end framework for predicting and extracting insights for Driving Simulator Data