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In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
Source code of the TUCMI submission to BirdCLEF2017
Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
Tensorflow Implementation of Convolutional Recurrent Neural Networks for Music Genre Classification
code for our 1st prize system to win the DCASE2017 task4 challenge
:satellite: All You Need to Know About Deep Learning - A kick-starter
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Minimal and clean examples of machine learning algorithms
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Python Data Science Handbook: full text in Jupyter Notebooks
Task 4 Large-scale weakly supervised sound event detection for smart cars
TensorFlow 101: Introduction to TensorFlow
TensorFlow Tutorials with YouTube Videos
Urban sound classification using Deep Learning
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.