Muhammd Umair Ali's Projects
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
In this repository I shall articulate all the concept to make your documents fancy and well formated.
Scrape job postings from LinkedIn
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Profile Homepage
This repository as a one-stop-shop for learning about various machine learning algorithms in detail.
To train the model to forget a specific data from a trained model
The comprehensive Markdown reference guide.
πΊ Discover the latest machine learning / AI courses on YouTube.
I share my detailed notes and concise summaries of Machine Learing books each month
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on whatβs important and whatβs not.
This repository is designed to serve as a comprehensive guide for anyone looking to learn Python, regardless of their prior programming experience.
π CLI that generates beautiful README.md files
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Statistics Notes From Random Resources
This project summarize the long text
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python,
This application analyzes water samples, providing prediction on whether it's safe for consumption or not.