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

Machine learning-Stanford University

Exercises for the Stanford/Coursera Machine Learning Class

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.

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

Coursera Machine Learning by Stanford University : Andrew Ng: Assignment Solutions

Coursera's Machine Learning from Stanford.

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.

Stanford machine learning class on Coursera. Taught by Andrew Ng. Implemented the assignments with Matlab.

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

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

Machine Learning Course by Stanford on Coursera (Andrew Ng)

Stanford Machine Learning MOOC from Coursera by 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

Apuntes del curso de machine learning de la universidad de Stanford disponible en coursera (Andrew Ng)

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

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

Machine Learning Specialization by Andrew Ng in collaboration between DeepLearning.AI and Stanford Online in Coursera.

Coursera/Stanford Machine Learning course assignments in python

Python examples of the homework examples for Andrew Ng's Stanford Machine Learning class on Coursera

The Stanford Coursera course on MachineLearning with Andrew Ng