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Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
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.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Introduction to Deep Neural Networks with Keras and Tensorflow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Open Content for self-directed learning in data science
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
The "Python Machine Learning" book code repository and info resource
Jupyter Notebooks for the Python Data Science Handbook
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scikit-learn main repo
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Materials for my Pycon 2015 scikit-learn tutorial.
Scikit-learn tutorials for the Scipy 2013 conference
Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
TensorFlow Tutorial and Examples for beginners
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorials with YouTube Videos
Code for Tensorflow Machine Learning Cookbook
From the basics to slightly more interesting applications of Tensorflow
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.