winnawinnachickendinna

winnawinnachickendinna

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winnawinnachickendinna's repositories

attention_keras

Keras Layer implementation of Attention

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awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

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bias-in-credit-models

Examples of unfairness detection for a classification-based credit model

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cakesandtensors

Cakes and Tensors Booz Allen MI Meetup

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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.

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Churn-rate-for-Uber

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

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clv-lifetimes

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

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Customer_lifetime_value_analysis

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

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data-cleaning-101

Data Cleaning Libraries with Python

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gensim

Topic Modelling for Humans

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HP

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

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lifelines

Survival analysis in Python

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multilabeltext

Tutorial from UVA DataPalooza that can be run in Google Collab

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NLP-with-Python

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

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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.

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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

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pydata-seattle-2017

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

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sblack

Black theme for Slack Mac

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textrank_text_summarization

A tutorial for Automatic Text Summarization using TextRank algorithm.

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tf-rnn

Practical Examples for RNNs in Tensorflow

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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

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wids_201_brownbag

For the WiDS brownbag

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