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bda_py_demos

Bayesian Data Analysis demos for Python

bookshelf

:books: books

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

deep-learning-a-z-hands-on-artificial-neural-network

Codes and Templates from the SuperDataScience Course

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

ipysheet

Jupyter handsontable integration

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

koodo-reader

A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux and Web

linux-malware-detect

Linux Malware Detection (LMD)

loss-data-analytics

Loss Data Analytics is an interactive, online, freely available text. It provides core training on one of the foundations of actuarial science, loss data modeling.

machine-learning-a-z

Machine learning A-Z course from Udemy

machine_learning_examples

A collection of machine learning examples and tutorials.

mca

Multiple correspondence analysis

minirank

Ranking and ordinal regression algorithms in Python

mord

Ordinal regression algorithms

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

prince

:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probabilisticprogrammingprimer

probability

Probabilistic reasoning and statistical analysis in TensorFlow

public_notebooks

Notebooks with complete treatments of a certain topics

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pyomo

The main repository for the Pyomo optimization modeling software.

resources

PyMC3 educational resources

rmarkdown

Dynamic Documents for R

thinkbayes

Code repository for Think Bayes.

thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tqdm

A Fast, Extensible Progress Bar for Python and CLI