This repository is a curated collection of beginner to advanced level tutorials covering a wide range of machine learning concepts and techniques.

Here I will put all of my mental notes in structured format while learning the course related to DeepLearning or just LLMs in general!

I have been working on a logistic regression project from scratch, without relying on external libraries like scikit-learn, to predict whether a patient has breast cancer or not. Typically, breast cancer is classified into two categories: malignant (positive) and benign (negative).

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.

This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.

Tools for machine learning from two courses machine learning specialization and deep learning specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

Welcome to the Stanford Machine Learning course! This course, taught by Professor Andrew Ng, provides a comprehensive introduction to the field of machine learning. Through a combination of lectures, exercises, and projects, you will learn the fundamental techniques needed to build and apply machine learning models to real-world problems.

Programming Assignments and Lectures of Machine Learning by Andrew Ng of Stanford on Coursera

Course content related to Machine Learning Specialization by Andrew Ng

This is Andrew NG Coursera Handwritten Notes.

This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

Backup files of Specializations/Courses for Machine Learning preparation.

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

The course of Machine Learning 2022 by Andrew Ng in deepleanring.ai

A collection of notes and code for all the short courses offerred by DeepLearning.AI

Coursera Andrew Ng Machine learning course