riteshkasat
I am a graduate student at USC pursuing Masters in Computer Science
Intern @trifacta and Software Developer @intuitLos Angeles
Pinned Repositories
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
beam
Mirror of Apache Beam
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
BucketList
python flask application where users can register, sign in and create their bucket list.
Community-Detection-Algorithm
This project implements community detection algorithm using divisive hierarchical clustering (Girvan-Newman algorithm)
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Item-Recommender-System
This project implement a simple user - based collaborative filtering recommender system for predicting the ratings of an item using the data given. This prediction is done using k nearest neighbors and Pearson correlation. Finally using the similarity of the k nearest neighbors, ratings of the new item for the given user can be predicted
MapReduce-for-data-mining
Implements scientific operations in Data Mining using map reduce
PCY-Multihash-Toivonen-for-data-mining
Includes implementation of PCY, Multihash and Toivonen algorithms. These algorithms are used to compute k-frequemt itemsets in given set of transactions
riteshkasat's Repositories
riteshkasat/Community-Detection-Algorithm
This project implements community detection algorithm using divisive hierarchical clustering (Girvan-Newman algorithm)
riteshkasat/Item-Recommender-System
This project implement a simple user - based collaborative filtering recommender system for predicting the ratings of an item using the data given. This prediction is done using k nearest neighbors and Pearson correlation. Finally using the similarity of the k nearest neighbors, ratings of the new item for the given user can be predicted
riteshkasat/MapReduce-for-data-mining
Implements scientific operations in Data Mining using map reduce
riteshkasat/PCY-Multihash-Toivonen-for-data-mining
Includes implementation of PCY, Multihash and Toivonen algorithms. These algorithms are used to compute k-frequemt itemsets in given set of transactions
riteshkasat/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
riteshkasat/beam
Mirror of Apache Beam
riteshkasat/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
riteshkasat/BucketList
python flask application where users can register, sign in and create their bucket list.
riteshkasat/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
riteshkasat/dev-setup
Mac OS X development environment setup reference: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults. https://bit.ly/git-dotfiles
riteshkasat/fbone
Fbone (Flask bone) is a Flask (Python microframework) template/bootstrap/boilerplate application.
riteshkasat/flask-empty
An empty project skeleton / boilerplate for flask projects
riteshkasat/Flask-HTTPAuth
Simple extension that provides Basic and Digest HTTP authentication for Flask routes
riteshkasat/flask-registration
riteshkasat/flask-restful
Simple framework for creating REST APIs
riteshkasat/GeeksForGeeks
this repo is for solutions to programming questions
riteshkasat/GeoTweets
Tweets with domain by using TF/IDF
riteshkasat/google-interview-university
A complete daily plan for studying to become a Google software engineer.
riteshkasat/hdp
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
riteshkasat/HelloWorldReact
to learn react app development
riteshkasat/interactive-coding-challenges
Continually updated interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews or coding competitions. https://bit.ly/git-code
riteshkasat/oh-my-zsh
A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
riteshkasat/REST-auth
Example application for my RESTful Authentication with Flask article.
riteshkasat/reveal.js
The HTML Presentation Framework
riteshkasat/riteshkasat.github.io
My personal Website
riteshkasat/scipy_2015_sklearn_tutorial
Scikit-Learn tutorial material for Scipy 2015
riteshkasat/Spam-Classifier
riteshkasat/spoj
riteshkasat/startbootstrap-creative
A one page HTML theme for creatives by Start Bootstrap
riteshkasat/Yelp-Sentimental-Analysis