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Name: Venkat
Type: User
Company: Evenkat.com
Bio: Techno Evangelist in the Big Data Space
Location: Mumbai
Blog: http://www.evenkat.com
Name: Venkat
Type: User
Company: Evenkat.com
Bio: Techno Evangelist in the Big Data Space
Location: Mumbai
Blog: http://www.evenkat.com
Anatomy of Matplotlib Tutorial originally developed for SciPy 2013
Fixed and updated code examples from the book "Apache Kafka"
Apache Kafka Examples, Tutorials
Apache Kafka 0.9 Java Client API Example
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
A curated list of awesome Apache Spark packages and resources.
Follow up from online Blockchain With The Best Conf June 11th 2016
Simple example on how to use recommenders in Spark / MLlib
Essential Cheat Sheets for deep learning and machine learning researchers
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
A real time streaming implementation of markov chain based fraud detection
General Assembly's Data Science course in Washington, DC
MapReduce, Spark, Java, and Scala for Data Algorithms Book
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
This repository contains the exercises and data for Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
The lecture slides for Coursera's Data Analysis class
Learnings from the Data Science Course in Coursera
The Leek group guide to data sharing
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
My custom Image for Quick setup of Deep Learning Libraries in Python on any machine.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.