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apple_tweets_nlp

NLP on customer tweets to Apple Support to uncover topics using NMF (unsupervised modeling), and classify tweets as product types based on users' initial tweets using CorEx (semi-supervised modeling)

capital-one-ds-challenge

Capital One Data Science Challenge

citibike_forecast

Time series forecasting on Citi Bike daily demand using an additive regression model (Facebook Prophet) and a convolutional neural network (WaveNet)

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

data_structures_and_algorithms

A practice ground for implementing fundamental data structures and algorithms

deep-learning-with-python-notebooks

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

dsp

Metis Data Science Bootcamp - Official Prework Repository

first-contributions

🚀✨ Help beginners to contribute to open source projects

fraud_service

instacart_order_classification

Predict which products Instacart users will reorder using classification algorithms (logistic regression, random forest and gradient boosting)

instapy-quickstart

💨 Simply get InstaPy up and running in minutes.

keras

Deep Learning for humans

machine-learning-interview

Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

predict_movie_revenue

Predict domestic gross revenue of movies before release using web scraping and linear regression models with regularization

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

python

All Algorithms implemented in Python

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

scikit-learn

scikit-learn: machine learning in Python

spark

Apache Spark - A unified analytics engine for large-scale data processing

spark-with-python

Fundamentals of Spark with Python (using PySpark), code examples

stats-illustrations

R & stats illustrations by @allison_horst

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stock-bot

A script that can trade stocks on a daily basis in an attempt to out perform the market.

syntheticjohn.github.io

tensorflow

An Open Source Machine Learning Framework for Everyone

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow