Python Data Science Handbook: full text in Jupyter Notebooks
created at Aug. 10, 2016, 2:24 p.m.
A curated list of awesome awesomeness
created at July 8, 2014, 5:44 a.m.
A complete daily plan for studying to become a machine learning engineer.
created at Oct. 9, 2016, 9:20 p.m.
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.
created at Jan. 23, 2015, 7:38 p.m.
The "Python Machine Learning (1st edition)" book code repository and info resource
created at Aug. 7, 2015, 8:39 p.m.
Simple tutorials using Google's TensorFlow Framework
created at Nov. 10, 2015, 11:02 p.m.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
created at Dec. 29, 2016, 5:43 p.m.
Machine Learning for Cyber Security
created at Dec. 20, 2016, 12:46 p.m.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
created at March 30, 2014, 5:34 a.m.
A python tutorial on bayesian modeling techniques (PyMC3)
created at Sept. 10, 2015, 2:27 p.m.
General Assembly's 2015 Data Science course in Washington, DC
created at Aug. 7, 2015, 3:35 a.m.
A curated list of awesome adversarial machine learning resources
created at Dec. 19, 2016, 2:30 a.m.
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
created at Sept. 24, 2014, 1:47 a.m.
the best machine learning tutorials on the web
created at April 28, 2011, 1:01 a.m.
My coworkers often ask me for Python learning resources. Here are some picks. Many skill levels, emphasis on beginner and intermediate.
created at Oct. 2, 2016, 8:43 p.m.