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automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

aws-codepipeline-s3-codedeploy-linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

bokeh-python-visualization

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

cpython

The Python programming language

dask-examples

data-analysis

Data Science Using Python

datacamp

DataCamp data-science courses

datasciencecoursera

datasharing

The Leek group guide to data sharing

django-boards

docs

TensorFlow documentation

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

fastbook

Draft of the fastai book

first-contributions

🚀✨ Help beginners contribute to open source projects

flask-microservices-client

flask-microservices-main

flask-microservices-swagger

git-training

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

jh-kaggle-util

Jeff Heaton's Kaggle Utilities

jupyter

Jupyter metapackage for installation, docs and chat

kaggle-ncaa-ml-2018-mens

Python script and Jupyter Notebook for my submission in the 2018 Kaggle NCAA Machine Learning competition

kaggle-ncaa-ml-2019-mens

Python script and Jupyter Notebook for my submission in the 2019 Kaggle NCAA Machine Learning competition

kinit-sidecar

Very simply krb5 workstation container designed to run as a sidecar and provide an app with krb token

kubernetes-ml-ops

An introduction to machine learning model deployment operations (MLOps) using Python, Docker, Kubernetes and Seldon-Core.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-predict-weather

Using Machine Learning to Predict the Weather

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

michaele919.github.io

Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

microblog