JVMora

JVMora

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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 ;)

Language:Jupyter NotebookLicense:MITStargazers:26472Issues:1373Issues:244

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Language:Jupyter NotebookLicense:MITStargazers:22482Issues:776Issues:35

machine_learning_basics

Plain python implementations of basic machine learning algorithms

Language:Jupyter NotebookLicense:MITStargazers:4236Issues:164Issues:10

stat-cookbook

:orange_book: The probability and statistics cookbook

Language:TeXLicense:NOASSERTIONStargazers:2159Issues:152Issues:11

pymc-resources

PyMC educational resources

Language:Jupyter NotebookLicense:MITStargazers:1895Issues:65Issues:75

StudyBook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Stargazers:1539Issues:0Issues:0

Doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Language:Jupyter NotebookStargazers:889Issues:67Issues:4

Plotly-Dashboards-with-Dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

Language:Jupyter NotebookStargazers:823Issues:46Issues:6

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Language:Jupyter NotebookLicense:MITStargazers:718Issues:37Issues:0

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

Language:Jupyter NotebookLicense:MITStargazers:553Issues:21Issues:4

2019-CS109A

https://harvard-iacs.github.io/2019-CS109A/

Language:Jupyter NotebookLicense:MITStargazers:544Issues:70Issues:2

ThinkBayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

Language:Jupyter NotebookStargazers:396Issues:33Issues:0

MML-Companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

Language:Jupyter NotebookStargazers:236Issues:18Issues:3

CompStats

Code for a workshop on statistical interference using computational methods in Python.

Language:Jupyter NotebookLicense:MITStargazers:215Issues:13Issues:3

optimizers

examples of lp optimization in python

Language:PythonStargazers:171Issues:15Issues:0

Computational-statistics-with-Python

Resources for STA 633 class

Language:Jupyter NotebookStargazers:163Issues:27Issues:0
Language:Jupyter NotebookLicense:MITStargazers:107Issues:19Issues:2
Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:71Issues:4Issues:1

Data-Science-Resources

Data Science related resources and cheatsheets

scipy-japan-2019

NumPy tutorial given at SciPy Japan 2019

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:33Issues:6Issues:2

scientific-python-workshop

Scientific Python Programming Workshop, April 2016 Australia

Language:Jupyter NotebookLicense:CC0-1.0Stargazers:16Issues:0Issues:0

bayesian-stats-simulation-tutorial

Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!

Language:Jupyter NotebookLicense:MITStargazers:16Issues:2Issues:0

Algorithm-Design-Manual

Data structures, algorithms, and practice problems from Steven S. Skiena's "The Algorithm Design Manual" (Second Edition).

Language:PythonStargazers:11Issues:4Issues:0

data_science_course

Scientific computing using Python, IPython and Scikits.

License:MITStargazers:5Issues:0Issues:0

Python-algorithm-study

What I made while studied Problem Solving with Algorithms and Data Structures using Python Also include some solutions of exercises or quizzes

Language:Jupyter NotebookStargazers:1Issues:2Issues:0