<img height="444px" src="https://github.com/aurimas13/Machine-Learning-Goodness/blob/main/Public/Images/ml.png"/> Machine Learning Goodness with various repositories or notebooks , ML/DL projects and AGI/AI tips/cheats.  <a href="https://github.com/aurimas13/Machine-Learning-Goodness/tree/main/Notebooks"> <img alt="jupyter" src="https://img.shields.io/badge/tool-Jupyter-blue.svg?style=social&logo=jupyter")></a> <a href="https://github.com/aurimas13/Machine-Learning-Goodness/tree/main/Notebooks"> <img alt="python" src="https://img.shields.io/badge/language-python-blue.svg?style=social&logo=python")></a> <a href="https://img.shields.io/github/last-commit/aurimas13/Machine-Learning-Goodness"><img alt="lastcommit" src="https://img.shields.io/github/last-commit/aurimas13/Machine-Learning-Goodness?style=social"/></a>  <a href="https://img.shields.io/github/stars/aurimas13/Machine-Learning-Goodness"><img alt="stars" src="https://img.shields.io/github/stars/aurimas13/Machine-Learning-Goodness?style=social"/></a> <a href="https://img.shields.io/github/forks/aurimas13/CodeAcademy-AI-Course"><img alt="twitter" src="https://img.shields.io/github/forks/aurimas13/Machine-Learning-Goodness?style=social"/></a> <a href="https://twitter.com/aanausedas"><img alt="twitter" src="https://img.shields.io/twitter/follow/aanausedas?style=social"/></a> Overview & Next Move

With the start of 100DaysOfMLCode challenge this Machine Learning Goodness repository is updated daily with either the completed Jupyter notebooks, Python codes, ML projects, useful ML/DL/NN libraries, repositories, cheat codes of ML/DL/NN/AI, useful information such as websites, beneficial learning materials, tips and whatnot not to mention some basic and advanced Python coding.

As the challenge is over the repo still grows. New beneficial material or materials in the world of Machine Learning when found is/are added to books, tools or repositories as well as updated in FinishYearWithML challenge and tweeted through my Twitter account and on Linkedin as well as sometimes on Facebook, Instagram.

Table of contents
Worthy Books
Worthy Tools
Worthy Repositories
Notebooks
Notes
100DaysOfMLCode
FinishYearWithML
Public
Jupyter in Browser
Logo
License

Worthy Books

(Back to top)

Worthy books to hone expertise of ML/DL/NN/AGI, Python Programming, CS fundamentals needed for AI analysis and any useful book for a Developer or ML Engineer.

Number	Title	Description	Link
1	Grokking Algorithms: An illustrated guide for programmers and other curious people	Visualisation of most popular algorithms used in Machine Learning and programming to solve problems	Grokking Algorithms
2	Algorithm Design Manual	Introduction to mathematical analysis of a variety of computer algorithms	Algorithm Design Manual
3	Category Theory for Programmers	Book about Category Theory written on posts from Milewski's programming cafe	Category Theory for Programmers
4	Automated Machine Learning	Book includes overviews of the bread-and-butter techniques we need in AutoML, provides in-depth discussions of existing AutoML systems, and evaluates the state of the art in AutoML	Automated Machine Learning
5	Mathematics for Computer Science	Book by MIT on Mathematics for Computer Science	Mathematics for Computer Science
6	Mathematics for Machine Learning	Book by University of California on Mathematics for Machine Learning	Mathematics for Machine Learning
7	Applied Artificial Intelligence	Book on engineering AI applications	Applied Artificial Intelligence
8	Automating Machine Learning Pipeline	Book-overview of automating ML lifecycle with Databricks Lakehouse platform	Automating Machine Learning Pipeline
9	Machine Learning Yearning	The book for AI Engineers win the era of Deep Learning	Machine Learning Yearning
10	Think Bayes	An introduytion to Bayesian statistics with Python implementation and Jupyter Notebooks	Think Bayes
11	The Ultimate ChatGPT Guide	The book that provides 100 resources to enhance your life with ChatGPT	The Ultimate ChatGPT Guide
12	The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective Prompts	The book to learn strategies for crafting compelling ChatGPT prompts that drive engaging and informative conversations	The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective Prompts
13	10 ChatGPT prompts for Software Engineers	The book to learn how to prompt for software engineering tasks	10 ChatGPT prompts for Software Engineers
14	How to Build Your Career in AI	Andrew Ng's insights about learning foundational skills, working on projects, finding jobs, and community in machine	How to Build Your Career in AI
15	Machine Learning Q and AI	Th book on popular wuestions asked in interviews on ML and advanced information to those questions	Machine Learning Q and AI
16	A comprehensive guide to Machine Learning	A free book of comprehensive guide to ML	A comprehensive guide to Machine Learning
17	Math for Deep Learning: What You Need to Know to Understand Neural Networks	A book of Mathematics for Machine Learning and Artificial Intelligence that goes into the Mathematics & Statistics Foundations of for Data Science	Math for Deep Learning: What You Need to Know to Understand Neural Networks

Worthy Tools

(Back to top)

Worthy websites and tools that include cheat codes for Python, Machine Learning, Deep Learning, Neural Networks and what not apart from other worthy tools while you are learning or honing your skills can be found here. Updated constantly when a worthy material is found to be shared on the repository.

Number	Title	Description	Link
1	Python Cheatsheet	The Python Cheatsheet based on the book "Automate the Boring Stuff with Python" and many other sources	Python Cheatsheet
2	Machine Learning Algorithms Cheatsheet	The Machine Learning Cheatsheet explaining various models briefly	ML Algorithms Cheatsheet
3	Awesome AI Datasets & Tools	Links to popular open-source and public datasets, data visualizations, data analytics resources, and data lakes	Awesome AI Datasets & Tools
4	Machine Learning Cheatsheet	This Cheatsheet contains many classical equations and diagrams on Machine Learning to quickly recall knowledge and ideas on Machine Learning	Machine Learning Cheatsheet
5	Universal Intelligence: A Definition of Machine Intelligence	The publication on definitions of intelligence	Universal Intelligence
6	Logistic Regression	Detailed Overview of Logistic Regression	Logistic Regression
7	BCI Overview	Simple Overview of Brain-Computer Interface (BCI)	BCI Overview
8	BCI Research	Fascinating research of Brain-Computer Interface (BCI)	BCI Research
9	AI in Chemical Discovery	How AI is changing Chemical Diccovery?	AI in Chemical Discovery
10	Machine Learning for Chemistry	Best practices in Machine Learning for Chemistry	Machine Learning for Chemistry
11	AI tools for drug discovery	5 cool AI-powered Drug Discovery tools	AI tools for drug discovery
12	Quantum Chemistry and Deep Learning	The application of Deep Learning and Neural Networks on Quantum Chemisty	Quantum Chemistry and Deep Learning
13	Computing Machinery and Intelligence	First paper on AI by Alan Turing	Computing Machinery and Intelligence
14	The blog on the take of Alan Turing	The analysis of Alan Turing's paper on AI (13 in the list) and the blog post on the life of him	Blog on Alan Turing
15	Minds, Brains and Programs	Paper that objects 'Turing Test' by John Searle	Minds, Brains and Programs
16	The blog on the take Of John Searle & Alan Turing	The blog post on the take Of John Searle paper (15 in the list) and ideas about AI and Alan Turing	John Searle & Alan Turing
17	The Youtube channel on Deep Learning's Neural Networks	An amazing youtube channel explaining what is Neural Network with simple and easy to follow descriptions	Deep Learning's Neural Networks
18	8 architectures of Neural Networks	8 architectures of Neural Network every ML engineer should know	8 architectures
19	Neural Networks for the Prediction of Organic Chemistry Reactions	The use of neural networks for predicting reaction types	NNs for Prediction of Organic Chemistry Reactions
20	Expert System for Predicting Reaction Conditions: The Michael Reaction Case	Models were built to decide the compatibility of an organic chemistry process with each considered reaction condition option	Expert System for Predicting Reaction Conditions
21	Machine Learning in Chemical Reaction Space	Looked at reaction spaces of molecules involved in multiple reactions using ML-concepts	Machine Learning in Chemical Reaction Space
22	Machine Learning for Chemical Reactions	An overview of the questions that can and have been addressed using machine learning techniques	Machine Learning for Chemical Reactions
23	ByTorch overview	BoTorch as a framework of PyTorch	ByTorch overview
24	ByTorch official	Bayesian optimization or simply an official website of BoTorch	ByTorch official
25	VS Code Cheatsheet	VS Code Shortcut Cheatsheet	VS Code Cheatsheet
26	Simple Machine Learning Cheatsheet	The Machine Learning Cheatsheet of all fields making it and common used algorithms	Machine Learning Cheatsheet
27	DeepMind & UCL on Reinforcement Learning	DeepMind & UCL lectures as videos on Reinforcement Learning	DeepMind & UCL on Reinforcement Learning
28	Stanford Machine Learning Full Course	Full machine Learning course as lecture slides given at Stanford University	Stanford Machine Learning Full Course
29