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attention_keras

Keras Layer implementation of Attention

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

bias-in-credit-models

Examples of unfairness detection for a classification-based credit model

cakesandtensors

Cakes and Tensors Booz Allen MI Meetup

capstone-project-january-2017

The object of this work is to quantify the factors in influencing user retention for a company. I stratified the data and applied a survival model to predict the lifetimes and the hazards that will surface at different points of a user's life. Then I calculated the Customer Lifetime Value (CLV) for each user based on predicted life.

churn-rate-for-uber

This is a case study on how to predict churn rate for a San Francisca, CA share drive company

clv-lifetimes

/home/kaushik/Jupyter/Alumnus/BTYD/lifetimes; E:\Alumnus\Work\JupyterProjects\clv-lifetimes

customer_lifetime_value_analysis

Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.

data-cleaning-101

Data Cleaning Libraries with Python

gensim

Topic Modelling for Humans

hp

Prediction of healthcare coverage from analysis of 2009-2011 American Community Survey data

lifelines

Survival analysis in Python

lyft-data-analysis

multilabeltext

Tutorial from UVA DataPalooza that can be run in Google Collab

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlp_yelp_review_unsupervised

Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to SGD Classification supervised models on unseen reviews.

oreilly-intro-to-predictive-clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

pydata-seattle-2017

Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle

sblack

Black theme for Slack Mac

textrank_text_summarization

A tutorial for Automatic Text Summarization using TextRank algorithm.

tf-rnn

Practical Examples for RNNs in Tensorflow

uber_driver_prediction_challenge

This notebook is dedicated to the solution of Uber take home challenge. This challenge consists of three main questions and several sub-questions

wids_201_brownbag

For the WiDS brownbag