Ujjwal Karn

Machine-Learning-Tutorials. machine learning and deep learning tutorials, articles and other resources

DataSciencePython. common data analysis and machine learning tasks using python

DataScienceR. a curated list of R tutorials for Data Science, NLP and Machine Learning

Twitter-Sentiment-Analysis. tutorial for sentiment analysis on Twitter data using Python

xda. R package for exploratory data analysis

deeplearning-papernotes. Summaries and notes on Deep Learning research papers

Web-Scraping. Web Scraping using Python

awesome-R. A curated list of awesome R frameworks, packages and software.

awesome-deep-learning. A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-datascience. :memo: An awesome Data Science repository to learn and apply for real world problems.

DeepLearningTutorials. Deep Learning Tutorial notes and code. See the wiki for more info.

Data-Mining-With-R. data_mining_with_r

awesome. A curated list of awesome lists

TopDeepLearning. A list of popular github projects related to deep learning

Restaurant-Revenue-Prediction. Kaggle Competition

Product-Classification-Challenge. Kaggle Competition

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.

lists. The definitive list of lists (of lists) curated on GitHub

exploratory-data-analysis. Exploratory Data Analysis using R

getting-and-cleaning-data. Getting and Cleaning Data using R

neuraltalk2. Efficient Image Captioning code in Torch, runs on GPU

neural-network-papers. JavaScript

awesome-random-forest. Random Forest - a curated list of resources regarding random forest

IPython-plotly. A collection of data science IPython notebooks with Plotly graphs

gensim. Topic Modelling for Humans

speech-language-processing. A curated list of speech and natural language processing resources

spark. Mirror of Apache Spark

data-science-from-scratch. code for Data Science From Scratch book

kaggle-stackoverflow2012. My entry to the Kaggle 2012 Stack Overflow competition. Ranked 10th on the final public leaderboard.

scrapy. Scrapy, a fast high-level screen scraping and web crawling framework for Python.

ML_for_Hackers. Code accompanying the book "Machine Learning for Hackers"

ProgrammingAssignment2. Repository for Programming Assignment 2 for R Programming on Coursera

datasci_course_materials. Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

d3. A JavaScript visualization library for HTML and SVG.

DeepLearningStars. Top Stared Deep Learning Projects

intro2deeplearning. Python

Movie-Ratings. Get the ratings of a movie on IMDB and RottenTomatoes.

workshop. Workshop: Scraping Twitter and Web Data Using R

datasharing. The Leek group guide to data sharing

awesome-machine-learning. A curated list of awesome Machine Learning frameworks, libraries and software.

intro2stats. Introduction to Statistics using Python

go. The Open Source Data Science Masters

cracking-the-coding-interview. Python solutions for the book Cracking the Coding Interview

kaggle-driver-telematics. AXA Driver Telematics Challenge on Kaggle.com

forecast. forecast package for R

Recommender.

Kaggle_Higgs_Boson_Machine_Learning_Challenge. R's GBM model for Higgs Boson Machine Learning Challenge

alchemyapi-twitter-python. A simple example application that will connect to the Twitter API, run a search, gather tweets, and then calculate the sentiment of each Tweet using AlchemyAPI's text analysis functions for entity extraction and sentiment analysis.

usefulSyntax. Codes for common data analysis operations

PurpleLlama. Set of tools to assess and improve LLM security.

snippets. My collection of useful code snippets/recipes/scripts/macros

imdb. python script to automatically open up Spreadsheet consisting of details of the movie like Rating,Genre,Runtime,Plot,Awards etc whose folder is passed as parameter to the python script via "Send-to"

python-twitter. Python

stanford_dl_ex. Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

multimodal-learning-hands-on-tutorial. Jupyter Notebook

Metrics. Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

deepwalk. DeepWalk - Deep Learning for Graphs