royweiss's repositories
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
first
my first
kubernetes-course
Kubernetes Course Files
machine-learning-programming-assignments-coursera-andrew-ng
Solutions to Andrew NG's machine learning course on Coursera
machineLearning
supervised and unsupervised algorithms from Andrew Ng's machine learning class
pydata-dc-2016-tutorial
Tutorial: Machine Learning with Text in scikit-learn
react-redux-links
Curated tutorial and resource links I've collected on React, Redux, ES6, and more
react-tutorial
Code from the React tutorial.
saxpy
Python implementation of Symbolic Aggregate approXimation
ThinkBayes
Code repository for Think Bayes.
ud120-projects
Starter project code for students taking Udacity ud120
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow