Pinned Repositories
courses-1
fast.ai Courses
DeepLearning
Alber Deep Learning
DeepLearning-Udacity
Repository with the assingments of the Udacity's Deep Learning Course: https://classroom.udacity.com/courses/ud730/
How-to-Predict-Stock-Prices-Easily-Demo
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
mimic-cdm
CDM conversion of MIMIC dataset.
QuantEcon.notebooks
Jupyter notebooks contributed by QuantEcon developers, users and the community
The_Math_of_Intelligence
Code for each week's short video of Siraj Raval Course "Math of Intelligence"
Turbofan-Engine-Degradation
nishkavijay's Repositories
nishkavijay/DeepLearningMovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
nishkavijay/IPython-quick-ref-sheets
This is ongoing work developing quick reference sheets for IPython
nishkavijay/pdxpython2015
Portland Python Meetup March 2015
nishkavijay/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
nishkavijay/meetup-stream
nishkavijay/bigdata-ecosystem
BigData Ecosystem Dataset
nishkavijay/D-Lab--Text-Analysis-Workshop
Scripts and data for D-Lab text analysis workshop
nishkavijay/kaggle-avazu
2nd place solution for Avazu click-through rate prediction competition
nishkavijay/data_science_python
Source code for the "Practical Data Science in Python" tutorial
nishkavijay/implicit-mf
Implicit matrix factorization as outlined in http://labs.yahoo.com/files/HuKorenVolinsky-ICDM08.pdf.
nishkavijay/data-pipeline
Exploring the problem of high-scale data ingestion on Azure
nishkavijay/hadoop-arch-book
Code repository for O'Reilly Hadoop Application Architectures book
nishkavijay/video_streaming_with_flask_example
Video Streaming with Flask example
nishkavijay/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
nishkavijay/statprog
Statistical Programming in R
nishkavijay/hadoop-book
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
nishkavijay/datacamp
R interface to create interactive courses for www.datacamp.com
nishkavijay/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
nishkavijay/hadoopecosystemtable.github.io
This page is a summary to keep the track of Hadoop related projects, and relevant projects around Big Data scene focused on the open source, free software enviroment.
nishkavijay/clickstream-tutorial
Code for Tutorial on designing clickstream analytics application using Hadoop
nishkavijay/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
nishkavijay/examples
examples from "Thoughtful Machine Learning"
nishkavijay/Topological-Anomaly-Detection
Topological Anomaly Detection (TAD) per Gartley and Basener 2009
nishkavijay/Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
nishkavijay/vowpal_wabbit
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
nishkavijay/Practical-Machine-Learning
John Hopkins University Coursera Course (R programming)
nishkavijay/higgs_boson
Solution to the Higgs Boson Machine Learning Challenge on Kaggle
nishkavijay/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
nishkavijay/lightning
Large-scale linear classification and regression in Python/Cython.
nishkavijay/appengine-nodejs-quickstart