Kartik Saxena's Projects
Abstract Algebra for Scala
Repository for Applied Machine Learning Course UMICH/Coursera
A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries and software
A collection of command-line tools that facilitate the obtaining, scrubbing, and exploring of data.
Contains Basic Utility Functions and Common DS and Algo Questions
This repository captures common interview questions and their solved solutions using Java/C++/Python
cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
Repository to caputure Project/Assignment code written during the course.
Repository captures Project work done in the course. Design and Development of a Music Recommendation Engine based on the Item / User based Collaborative filtering techniques and Ensemble of Machine Learning methods. Models trained over the million song dataset(MSD).
Solutions for CTCI 5th Edition written in Python &| Java
Infrastructure as a code for Data Science processing machine
Repository for data science course Spring 14
Data Science Resources collated at one location
dockscan is security vulnerability and audit scanner for Docker installations
Twitter's Effective Scala Guide
Falcon is a low-level, high-performance Python framework for building HTTP APIs, app backends, and higher-level frameworks.
Demo / Tutorial for Flask Web Framework
git-cola: The highly caffeinated git GUI
The Open Source Data Science Masters
Grokking Algorithms problems and solutions
Training materials for H2O World. See
The ultimate in python interview preparation and coding practice.
Everything you need to know to get the job.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Command-line JSON processor
First attempt at apache kafka
Entry for Kaggle challenge. Code written in R and model trained based on GBM , Random Forest and ensemble of the same. Currently Ranked as 59/1170 teams. Leaderboard- http://www.kaggle.com/c/titanic-gettingStarted/leaderboard