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adult_us_census-data

Exploration and modeling US census Adult dataset| Data Challenge round for Dataiku

airline-sentiment

implemented a kaggle users version to understand and play with sentiment analysis

allstate-kaggle

Kaggle competition

ashishkumardoke.github.io

Ashish Kumar Doke, Graduate Machine Learning student at UConn School of Business

creditcardfrauddetection

credit card fraud detection using Self organising maps and Multi layer perceptron

customer-segmentation-and-cltv-analysis

Customer Segmentation with BG/NBD model with Customer life time value analysis (CLTV)

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

fasttext

Implemented Facebook's fastext on my native language to understand the algorithm

imdb-classification-sequence-modeling

Imdb classification using sequence modeling. objective was to learn, understand and compare lstm and fasttext

kaggle-personalized-medicine

For this competition MSKCC is making available an expert-annotated knowledge base where world-class researchers and oncologists have manually annotated thousands of mutations .Develop a Machine Learning algorithm that, using this knowledge base as a baseline, automatically classifies genetic variations.

movie-_lens_-recommendationengine_boltzmanmachines

Movie lens recommendations with Boltzman machines with pytorch

nyc-cabs_bikes_som

clustering the nyc yellow cab rides and citi bike rides using Self organising maps -deep learning algotrithm

nyc-citi-bikes-and-yellow-taxis

Analyzing the cab and bike rides using Self organising maps

papers

Summaries of papers on deep learning.

personalized-product-recommender-system

build a popularity and item-based collaborative filtering recommender system with graph lab

prudential-life-insurance-assessment

Data Introduction : https://www.kaggle.com/c/prudential-life-insurance-assessment/data In this dataset, you are provided over a hundred variables describing attributes of life insurance applicants. The task is to predict the "Response" variable for each Id in the test set. "Response" is an ordinal measure of risk that has 8 levels.

py-causal

tensorflow

Computation using data flow graphs for scalable machine learning

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

topic-modeling

topic classification of reuters data with deep learning (implementation)

travelers-competition-2nd-rank

we are tasked with identifying policies that will cancel before the end of their term. With the help of a predictive model, your group will be able to predict those policies that are most likely to cancel as well as understand what variables are most influential in causing a policy cancellation.

twitter-harveysouthwest-sentiment

Used tweepy for sentiment analysis of hurricane harvey and southwest airlines

twython-scripts

Collected twython scripts for twitter mining and sentiment analysis

whynot

A Python sandbox for decision making in dynamics

xgboost

xgboost scripts on cancer classification with various hyper parameter tuning