Behrouz B.'s repositories

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Language:Jupyter NotebookLicense:MITStargazers:4Issues:0Issues:0

awesome-azure-learning

This repo includes plenty of references for Azure learning, especially for the Azure certs and Azure architecture, and any other learning materials e.g. security and automation topics.

Language:PowerShellLicense:CC0-1.0Stargazers:0Issues:0Issues:0

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

Language:HTMLStargazers:0Issues:0Issues:0

behrouz-bakhtiari

Config files for my GitHub profile.

Stargazers:0Issues:0Issues:0

behrouz-bakhtiari.github.io

A Jekyll version of the Clean Blog theme by Start Bootstrap

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

behrouz-bakhtiari2.github.io

A simple jekyll theme for blogging

Language:CSSLicense:NOASSERTIONStargazers:0Issues:0Issues:0

blackjack

Solution to Kaggle's blackjack challenge.

Language:PythonStargazers:0Issues:0Issues:0

BOAST

Book Of Apps for Statistics Teaching

License:NOASSERTIONStargazers:0Issues:0Issues:0

cheatsheets

RStudio Cheat Sheets

License:CC-BY-4.0Stargazers:0Issues:0Issues:0

cmu-comp-or

A series of tutorials for conducting computational experiments with optimization solvers

Language:TeXLicense:GPL-3.0Stargazers:0Issues:0Issues:0

codespaces-teaching-template-py

Codespaces template for teaching Python

License:MITStargazers:0Issues:0Issues:0

ExcelNumericalDemos

A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

License:MITStargazers:0Issues:0Issues:0

hands-on-rl

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

License:MITStargazers:0Issues:0Issues:0

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
License:CC-BY-4.0Stargazers:0Issues:0Issues:0

Machine-Learning-Books-With-Python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

License:MITStargazers:0Issues:0Issues:0

mslearn-dp100

Lab files for Azure Machine Learning exercises

License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

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 ;)

License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

pysd

System Dynamics Modeling in Python

License:MITStargazers:0Issues:0Issues:0

PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

License:MITStargazers:0Issues:0Issues:0

PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

License:MITStargazers:0Issues:0Issues:0

scikit-learn

scikit-learn: machine learning in Python

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

SDMR

Resources for text book "System Dynamics Modeling with R"

License:MITStargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0