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atom

:atom: The hackable text editor

course-python-data-science

customer-churn-prediction

WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode.

data-science--cheat-sheet

Cheat Sheets

datascientist

Testing our Potential Data Scientists

feature-importance

kaggle-houseprices

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

nlp-sentiment-classification

Sentiment Classification with Natural Language Processing on LSTM

predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

returningcustomers

Predictive analytics using machine learning to predict which customers would return in the future

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocks

Programs for stock prediction and evaluation

sydney-transport-tracker

Download data from NSW Transport OpenAPI to get stats on delays on the Sydney network

woolworthsstoresalesanalysis

Data analysis of factors affecting weekly sales of the retail store Woolworths