m-umairali Goto Github PK

end-to-end-x-ray-image-classification

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

kidney-disease-classification-deep-learning-project

learn_markdown

In this repository I shall articulate all the concept to make your documents fancy and well formated.

linkedinscraper

Scrape job postings from LinkedIn

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

m-umairali

Profile Homepage

machine_learning_algorithms_in_detail

This repository as a one-stop-shop for learning about various machine learning algorithms in detail.

machine_unlearning

To train the model to forget a specific data from a trained model

markdown-guide

The comprehensive Markdown reference guide.

ml-youtube-courses

📺 Discover the latest machine learning / AI courses on YouTube.

ml_books_i_read

I share my detailed notes and concise summaries of Machine Learing books each month

oop-python

practical-machine-learning

practical-statistics-for-data-scientists-50-essential-concepts-using-r-and-python

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 what’s important and what’s not.

python-interview-questions

This repository is designed to serve as a comprehensive guide for anyone looking to learn Python, regardless of their prior programming experience.

python_oop

readme-md-generator

📄 CLI that generates beautiful README.md files

resourcebank_cv_nlp_mlops_2022

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

statistics_notes

Statistics Notes From Random Resources

text-summarize-project

This project summarize the long text

the-complete-faang-preparation

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,

waterqualityprediction

This application analyzes water samples, providing prediction on whether it's safe for consumption or not.