The project is to build a neural network from scratch. The motivation for this project is from nnfs.io a website build by @Sentdex. Nnfs.io is actually meant for a book that teaches the fundamentals of neural network and help us to build our own network. Let's build a new neural network where we can learn the fundamentals and make a great hands-on work space for aspiring machine learning engineers and the GitHub community

drilling_dataset.csv is a structured dataset containing key operational parameters recorded during drilling operations, designed for machine learning research, ROP (Rate of Penetration) prediction, and drilling optimization studies.

This repo is for code which has been generated on learning with book Neural networks from scratch in python.

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Working with the NNFS book

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read chapter 2 of nnfs and have created my first 3 neurons

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another random ai repo (there is a few where I do little projects). In the basics I work through the nnfs book

A project of simple neural network based on https://nnfs.io/

This is the backend repository for the Discharge analysis project using NNF.

My projects inspired by Neural Networks From Scratch, a book By Harrison Kinsley which can be purchased at nnfs.io

A Haskell-based SAT solver for propositional logic using the Tableaux method. This project includes formula simplification, conversion to Negation Normal Form (NNF), and a systematic approach to determine satisfiability.