camdenhine

uber-tlc-foil-response

Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission

strata_data

A repo of sample data for our PyData Tutorial!

2017-slides

Slides and talk assets from PyCon 2017

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

Machine_Learning_Data_Preprocessing_Python

It's a Github Repo to get an understanding on various pre-processing steps required in Machine Learning before we build Machine Learning Models. The code is written in Python.

src

Sources for some videos

Handle-Imbalanced-Dataset

pandas-videos

Jupyter notebook and datasets from the pandas video series

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Retro-Street-Fighter-reinforcement-learning

Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

retro

Retro Games in Gym

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

Finding-an-Outlier

py

Repository to store sample python programs for python learning

depy2016

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Attention-CLX-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

docs

TensorFlow documentation

text

Making text a first-class citizen in TensorFlow.

recommenders

Best Practices on Recommendation Systems

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

docker-for-data-science-tutorial

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

JSAT

Java Statistical Analysis Tool, a Java library for Machine Learning

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

public-apis

A collective list of free APIs

manim

A community-maintained Python framework for creating mathematical animations.