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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
Simple Convolutional Neural Network (CNN) for sentiment classification of Chinese movie reviews.
Python library that makes it easy for data scientists to create charts.
Implementation of Collabrative Filtering way of recommendation engine
Your not so typical resume parser
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Tutorials for DataCamp (www.datacamp.com)
Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
The fastai deep learning library, plus lessons and and tutorials
Handwritten Digit Recognition using Machine Learning and Deep Learning
Deep Learning for humans
Content for Udacity's Machine Learning curriculum
Machine Learning notebooks for refreshing concepts.
Sharing solutions on real world use cases
Python codes for common Machine Learning Algorithms
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
This is a demo for the IBM Cloud Pak for Data. This project demonstrates the various capabilities of IBM Cloud Pak for Data which is an end to end analytics tool. It shows how a bank can use this demo to predict whether a customer will default a mortgage or not in the future
Used two different methods to predict the sentiment (positive or negative) of movie reviews.
Multi-class with imbalanced dataset classification
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Numba tutorial materials for Scipy 2016
My professional portfolio with some of my best data science projects.
My ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free(as speech not free food) or open-source.
learning how to use spark for ML projects
Getting start with PySpark and MLlib
Churn Prediction with PySpark using MLlib and ML Packages
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.