indrajitharidas Goto Github PK
Name: Indrajit Haridas
Type: User
Bio: Data Scientist
Location: San Francisco, CA
Name: Indrajit Haridas
Type: User
Bio: Data Scientist
Location: San Francisco, CA
a short literate coding study of activity tracker data in R using Knitr
This repo has implementation of small but important algorithms/puzzles.
ANN and KNN on popularity dataset
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
A curated list of awesome R packages, frameworks and software.
XOR gate using neural network. None of the packages were used, good for basic understanding and functioning of neural networks.
This repository contains a GUI written in Rshiny to perform Bayesian Logistic regression analysis in R. The interface is based on the MCMClogit function from the MCMCpack package.
Bayesian Inference Tools in Python
A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).
Official Documentation for the Binance APIs and Streams
This repo contains analysis of MovieLens dataset and implements various collaborative filtering techniques.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Coursera Data Science Capstone project
JHU Coursera Capstone
The Leek group guide to data sharing
This is wrapper using multiple tutorials available online.
This repo will have practice and exercises from the famous book 'Principle of Econometrics' by Willin Grifiths
Coursera Course
Course Project 2
Tracking of football players and analysis
This is final Capstone project for Data Science Specialization from JHU on Coursera
This is a kaggle dataset having details about players in EA sport's FIFA 17
Instacart is challenging the Kaggle community to use this anonymized data on customer orders over time to predict which previously purchased products will be in a userβs next order.
This repo contains analysis for Steam Video Data Set on kaggle.
We will be using linear and logistic regression on a given dataset. In addition, we will experiment with design and feature choices. We will be using Online News Sharing dataset available for download at https://archive.ics.uci.edu/ml/datasets/Online+News+Popularity#
A simple, extensible Markov chain generator.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.