behrouz-bakhtiari Goto Github PK

07-regression

Coursera - JH Data Science - Regression Models

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

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.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

bda_course_aalto

Bayesian Data Analysis course at Aalto

behrouz-bakhtiari

Config files for my GitHub profile.

behrouz-bakhtiari.github.io

A Jekyll version of the Clean Blog theme by Start Bootstrap

behrouz-bakhtiari2.github.io

A simple jekyll theme for blogging

blackjack

Solution to Kaggle's blackjack challenge.

boast

Book Of Apps for Statistics Teaching

cheatsheets

RStudio Cheat Sheets

cmu-comp-or

A series of tutorials for conducting computational experiments with optimization solvers

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-school-shootings

The Washington Post is compiling a database of school shootings in the United States since Columbine.

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

datasciencecoursera-1

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

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

hands-on-rl

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

islr-python

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

lecture_i2ml

gh-page

machine-learning-books-with-python

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

markdowns

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

mslearn-dp100

Lab files for Azure Machine Learning exercises

mslearn-introduction-to-machine-learning

pdswr2

Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount)

podcast