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ai-nanodegree

Project solutions for Udacity's AI Nanodegree Program

aima-csharp

C# implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-lisp

Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

andrew_machine_learning_r

This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

artificial-intelligence-berkeley

Project Contents for Berkeley's - EdX Artificial Intelligence course.

assignment10

assignment14

assignment15

assignment17

assignment19

assignment2

assignment3

awesome-r

A curated list of awesome R packages, frameworks and software.

basic-well-log-interpretation

Basic Well Log Interpretation with python, pandas, matplotlib

bayes2018

My notes on Bayesian statistics in Stan, etc (2018-)

bda_r_demos

Bayesian Data Analysis demos for R

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning

blog_posts_prep

bookdown-elsevier

a live example of the R bookdown template for Elsevier academic journals

competition

EAGE Annual Amsterdam 2021 ML Competition

cookbook

Various Python recipes mainly for engineering applications

data

Data and code behind the stories and interactives at FiveThirtyEight

data-science-live-book

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

data.table-tutorial-uros2018

dataanalysislab