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Questions solved from Various Coding websites viz. HackerRank, HackerEarth, CodeChef, CodingNinja and other websites. This repository also contains Questions from various offline and onsite competitions. Programs that we find in the competitions and some brainstorming questions
This is a repo of fun Python modules I experiment when I was bored of only using Data Science modules
Credit Risk analysis by using Python and ML
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.
Plotly's Documentation
This are the solutions to ALL "implementation" problems in the "algorithms" category at "https://www.hackerrank.com/"
Solutions for HackerRank in Python
Solutions of challenges of Hackerrank Python domain
130+ solutions to Hackerrank.com practice problems using Python 3 and Oracle SQL
This is the code for 'How to Do Sentiment Analysis' #3 - Intro to Deep Learning by Siraj Raval on Youtube
Student Solutions to An Introduction to Statistical Learning with Applications in R
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Jupyter metapackage for installation, docs and chat
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
EliteDataScience's Machine Learning Masterclass course.
Mastering Machine Learning with R, Third edition, by Packt
Machine Learning with R
Datasets for Mastering Machine Learning with R 3rd Edition
(DEPRECATED - See the README)
R Package: openintro
An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.
Examples of PyMC models, including a library of Jupyter notebooks.
The Official User-Guide to Plotly's Python API
scikit-learn: machine learning in Python
This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
Supervised machine learning case studies in R! 💫 A free interactive tidymodels course
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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.