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machine_learning_basics

Plain python implementations of basic machine learning algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

mastering-julia-1.0

Mastering Julia 1.0 by Packt Publishing

mcmc_pydata_london_2019

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-live-beginner

ml-live-intermediate

Machine Learning with scikit-learn for Safari Books Online, intermediate

ml-webinar

Machine Learning with sklearn tutorials (for Pearson)

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlcourse.ai

Open Machine Learning Course

mli-resources

H2O.ai Machine Learning Interpretability Resources

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

modernpython

Sample code for the video course: Modern Python: Big Ideas, Little Code

modsimpy

Text and supporting code for Modeling and Simulation in Python

numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

numerical-python-second-ed

Source code for 'Numerical Python Second Edition' by Robert Johansson

numpy-100

100 numpy exercises (100% complete)

numpy-tutorial-scipyconf-2018

SciPy 2018 NumPy tutorial

numpy_exercises

Numpy exercises.

optimizers

examples of lp optimization in python

pandas-tutorial-scipyconf-2018

pandas_exercises

Practice your pandas skills!

pandas_for_everyone

Repository to accompany "Pandas for Everyone"

pcc

Resources for Python Crash Course, from No Starch Press.

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

practical-ml-w-python

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma