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Python Data Science Handbook: full text in Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Lectures on scientific computing with python, as IPython notebooks.
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
Machine learning library written in readable python code
This repository contains materials for demos, tutorials, and talks by Dato Inc.
TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.
Deep learning tutorial for PyData
Introduction to programming for geoscientists. Designed for 1st year undergraduates. Based on the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.
BUS 41204: Machine Learning
Interactive tutorial on the Forward-Backward Expectation Maximization algorithm
Data driven lane change detection using US101 highway data, HMMs, and change point detetion.
Data Processing Advanced: a course on scientific computing with Numpy/Scipy
Solutions for Machine Learning Specialization MOOC offered by University of Washington.
Repository for materials/codes from Kording lab teaching 2016
Some machine learning algorithms implemented in python.
Vectorized implementation of a general feedforward neural network in Python
Code for Jurafsky and Martin Textbook
Running EM algorithm to group protein sequences
Implementation of Bagging and Adaboost, and analysis of their effects on the bias-variance tradeoff.
Notebook of implementation of EM algorithm for Gaussian mixtures