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airbnbseattle

A data driven approach towards drawing insights from Airbnb listings.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

best-readme-template

An awesome README template to jumpstart your projects!

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

course-nlp

A Code-First Introduction to NLP course

data-science-from-scratch

code for Data Science From Scratch book

datasharing

The Leek group guide to data sharing

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

disasterresponse

Classify disaster messages to categories so we can appropriately handle different needs of the affected people.

employeeattrition

Employee attrition

fastbook

Draft of the fastai book

findingdonorsproject

The goal was to to find potential donors by constructing a model that predicts whether an individual makes more than $50,000.

flowerimageclassification

Image classifier built with PyTorch, then converted to a command line application.

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

python

All Algorithms implemented in Python

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

recommendationengine

starbucksofferoptimization

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

watson-stock-market-predictor

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.