Shitao Wang's repositories
Kaggle-House-Prices-Advanced-Regression-Techniques
Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
Markov-chain-Monte-Carlo
A Matlab implementation of Adptive Metropolis Algorithm
boston_housing
Boston housing price prediction using Decision Tree Regressor
coding-interview-university
A complete computer science study plan to become a software engineer.
customer_segments
Use unsupervised learning techniques to best segment customers into distinct categories
data-science-ipython-notebooks
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.
data-science-your-way
Ways of doing Data Science Engineering and Machine Learning in R and Python
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
insight_project
Repository for insight data science project
machine-learning-notes
This contains my past machine learning notes
student_intervention
Trained several supervised machine learning models on a given dataset to predict how likely a student is to graduate
t81_558_deep_learning
WUSTL Course T81-558: Applications of Deep Neural Networks
smartcab
Reinforcement learning: train a smartcab to drive
A-comparison-of-uncertainty-quantification-techniques-using-integral-plume-model
Data repository for technique report
BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Causalinference
Causal Inference in Python
codeReviewFun
sample code taken from code review stack exchange to practice code review
github-cheat-sheet
A list of cool features of Git and GitHub.
machine-learning
Content for Udacity's Machine Learning curriculum
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
shitao.github.io
Shitao's webpage build with jekyll plugins
spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
titanic_survival_exploration
Titianic survival prediction: hand-coded "naive decision tree" for 80% accuracy