shitao-zz Goto Github PK
Name: Shitao Wang
Type: User
Company: Uber
Location: Seattle
Blog: http://shitao.github.io/
Name: Shitao Wang
Type: User
Company: Uber
Location: Seattle
Blog: http://shitao.github.io/
Data repository for technique report
Code for my book on Multi-Armed Bandit Algorithms
A Python implementation of global optimization with gaussian processes.
Boston housing price prediction using Decision Tree Regressor
Causal Inference in Python
sample code taken from code review stack exchange to practice code review
A complete computer science study plan to become a software engineer.
Use unsupervised learning techniques to best segment customers into distinct categories
Recently updated with 50 new notebooks! 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.
Ways of doing Data Science Engineering and Machine Learning in R and Python
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A list of cool features of Git and GitHub.
Repository for insight data science project
Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
Content for Udacity's Machine Learning curriculum
This contains my past machine learning notes
A Matlab implementation of Adptive Metropolis Algorithm
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The "Python Machine Learning" book code repository and info resource
Sequential model-based optimization with a `scipy.optimize` interface
Shitao's webpage build with jekyll plugins
Reinforcement learning: train a smartcab to drive
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Interactive and Reactive Data Science using Scala and Spark.
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Trained several supervised machine learning models on a given dataset to predict how likely a student is to graduate
WUSTL Course T81-558: Applications of Deep Neural Networks
Titianic survival prediction: hand-coded "naive decision tree" for 80% accuracy
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.