Jen Kettlewell's starred repositories
modern-cpp-features
A cheatsheet of modern C++ language and library features.
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
DataSciencePython
common data analysis and machine learning tasks using python
gnofract4d
A fractal generation program for linux
realtime-search
Demonstration using Play!, Akka, AngularJS and Elasticsearch to perform real-time log entry search
MachineLearning
Literature Study
correlation-approximation
Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets
52-technologies-in-2016
Let's learn a new technology every week. A new technology blog every Sunday in 2016.
spark-scala-tutorial
A free tutorial for Apache Spark.
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
edX-6.00.2x-Introduction-to-Computational-Thinking-and-Data-Science
MIT edX 6.00.2x Introduction to Computational Thinking and Data Science problem sets code
DataScienceResources
Open Source Data Science Resources.
data-science-ipython-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.