Machine learning-Stanford University

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Contains the Course Material and Assignment Solutions for the Machine Learning Course at Stanford University on Coursera.

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Machine Learning Notes (Mainly from Stanford CS229 and Coursera courses taught by Andrew Ng)

# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code. ## Contents * Lectures Slides * Solution to programming assignment * Solution to Quizzes by Andrew Ng, Stanford University, [Coursera](https://www.coursera.org/learn/machine-learning/home/welcome) ### Week 1 - [X] Videos: Introduction - [X] Quiz: Introduction - [X] Videos: Linear Regression with One Variable - [X] Quiz: Linear Regression with One Variable ### Week 2 - [X] Videos: Linear Regression with Multiple Variables - [X] Quiz: Linear Regression with Multiple Variables - [X] Videos: Octave/Matlab Tutorial - [X] Quiz: Octave/Matlab Tutorial - [X] Programming Assignment: Linear Regression ### Week 3 - [X] Videos: Logistic Regression - [X] Quiz: Logistic Regression - [X] Videos: Regularization - [X] Quiz: Regularization - [X] Programming Assignment: Logistic Regression ### Week 4 - [X] Videos: Neural Networks: Representation - [X] Quiz: Neural Networks: Representation - [X] Programming Assignment: Multi-class Classification and Neural Networks ### Week 5 - [X] Videos: Neural Networks: Learning - [X] Quiz: Neural Networks: Learning - [X] Programming Assignment: Neural Network Learning ### Week 6 - [X] Videos: Advice for Applying Machine Learning - [X] Quiz: Advice for Applying Machine Learning - [X] Videos: Programming Assignment: Regularized Linear Regression and Bias/Variance - [X] Machine Learning System Design - [X] Quiz: Machine Learning System Design ### Week 7 - [X] Videos: Support Vector Machines - [X] Quiz: Support Vector Machines - [X] Programming Assignment: Support Vector Machines ### Week 8 - [X] Videos: Unsupervised Learning - [X] Quiz: Unsupervised Learning - [X] Videos: Dimensionality Reduction - [X] Quiz: Principal Component Analysis - [X] Programming Assignment: K-Means Clustering and PCA ### Week 9 - [X] Videos: Anomaly Detection - [X] Quiz: Anomaly Detection - [X] Videos: Recommender Systems - [X] Quiz: Recommender Systems - [X] Programming Assignment: Anomaly Detection and Recommender Systems ### Week 10 - [X] Videos: Large Scale Machine Learning - [X] Quiz: Large Scale Machine Learning ### Week 11 - [X] Videos: Application Example: Photo OCR - [X] Quiz: Application: Photo OCR ## Certificate * [Verified Certificate]() ## References [[1] Machine Learning - Stanford University](https://www.coursera.org/learn/machine-learning)

Here are the quiz answers and programming assignments' solutions for the course "Machine Learning" and five specializations in Coursera taught by Mr. Andrew Ng from Stanford University.

Programming assignments from Coursera's Machine Learning(by Stanford University) course taught by Andrew Ng.

Machine Learning Course by Stanford on Coursera (Andrew Ng)

Coursera Stanford Machine Learning course in Julia

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

All the solutions from the programming assignments of the Machine Learning Course in Coursera taught by Andrew NG, Professor of Stanford University

This repository has been created to share all my work done in Coursera's Machine Learning Course by Andrew Ng, Stanford University. Short questions, quizs and programming exercises are here. The programming exercises have been done using Octave

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Exercises submitted to the Machine Learning course by Stanford done through Coursera

Exercises and source code of the MOOC Course on Coursera for Machine Learning by Stanford University. The course was taught by Prof. Andrew Ng.

Coursera/Stanford Machine Learning course assignments in python

The Stanford Coursera course on MachineLearning with Andrew Ng

This repo is for anyone who wants help in understanding and solving Andrew Ng's Coursera Course on Machine Learning Assignments and Quizes. (YEAR 2020)

Coursework for Stanford & Andrew Ng's machine learning course on Coursera

2024 Machine Learning Specialization course from Stanford University and Deeplearning.ai on Coursera by Dr. Andrew Ng. Includes Labs, Quiz

Machine learning problem sets from Stanford University's Machine Learning course on Coursera

Machine Learning adventure in python

In this repository, you will find the lecture slides and programming assignments that i have done during the course.

Solutions of all the assignments given in Andrew Ng machine learning course offered by Stanford on coursera

This repository contains Python Implementation of certain programming assignments of Andrew Ng’s Machine Learning Course on Coursera, created by Stanford University.

Octave code of Stanford Machine Learning in Coursera (all passed).

Stanford University Machine Learning Course taught by Andrew Ng on Coursera

This repo contains the solutions of quizes and assignments of Coursera's Andrew Ng Stanford Machine Learning course

Completed weekly assignments in coursera from the Standford University