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2015-slides

Slides and talk assets from PyCon 2015

anime-recommender-system

Built a system to suggest anime to the users-based user viewing history and similarity of content on data from myanimelist.net, a popular source for anime content.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bigdata-homework-1

My Solution for Big Data (INSY-5376) Homework-1 under Dr Sridhar Nerur

bigdata-homework-2

My Solution for Big Data (INSY-5376) Homework-2 under Dr Sridhar Nerur

bigdata-homework-3

My Solution for Big Data (INSY-5376) Homework-3 under Dr Sridhar Nerur

churn-prediction

Churn Prediction: Predicted customer churn based on the past service incidents,

dask-tutorial

Dask tutorial

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

dataworkssummit2018_spark_ml

hands on introduction to basic Machine Learning techniques with Apache Spark ML using the cloud.

free-programming-books

:books: Freely available programming books

intro-to-machine-learning

Notes for machine learning (taught by Jeremy Howard)

koalas

Koalas: Pandas API on Apache Spark

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

movie-recommender

Built a movie recommender based on plot similarity

pokemon-analytics

Predicted the popularity of the game on a given date using data from Google Play store and Apple App-store. Analyzed the screenshots using Deep learning to find insights on popular playing locations.

pydatanyc2015

PyData NYC 2015 conference

recommendersystem

Big Data Project to build a recommender system

sales-data-analysis

Sales Data Analysis: Predicted sales for a company by identified key trends in spending on rebates and advertising. Modeled sales prediction and recommended solutions to improve sales.

social-media-analytics

Analyzed peoples’ sentiment on president Trump’s policies using tweets, analyzed the reaction by modeling and visualization techniques.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

tutorials

web-social-analysis-project

Web and social project: MSNBC’s Clickstream Data Analysis-Recommendation System: Analyzed the clickstream data for MSNBC for 1 million users and reported various metrics which was used to improve the user experience. Used the analysis to create a recommendation system to suggest content based on user interests.