This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.

This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.

Coursera-Machine-Learning-Fall2013-4thEd-AndrewNg

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

吴恩达机器学习系列课程的编程作业，用python实现。

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Programming assignments (with Octave and Python) from Coursera's Machine Learning course taught by Andrew Ng.

Getting hands dirty on some basic machine learning project while pursuing Machine learning on Coursera by AndrewNg

Machine Learning from Andrew Ng at coursera.org with Standford

# [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning) **Master Deep Learning, and Break into AI** Instructor: [Andrew Ng](http://www.andrewng.org/) This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning). ## Goals - Learn the foundations of Deep Learning - Understand how to build neural networks - Learn how to lead successful machine learning projects - Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. - Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. - Practice all these ideas in Python and in TensorFlow.

Coursera Machine Learning (Andrew Ng) programming exercise implements in Jupyter Notebook and Matlab

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

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Exercises for the Stanford/Coursera Machine Learning Class taught by Andrew Ng in Python

Andrew Ng's indroductory machine learning course on Coursera.

Notes and projects solutions to coursera class machine learning taught by Andrew Ng

Linear regression/ linear regression with multiple features/ polynomial regression

[Done] All resolved assignments and documents for Machine Learning Coursera of professor Andrew Ng

MATLAB Exercies for the Stanford University Machine Learning course at Coursea taught by Andrew NG

Machine learning course hosted by Andrew Ng on Coursera online learning platform (Exercises & slides & NOTE)

Los trabajos realizados en el curso de Machine learning by andrew Ng, de coursera.

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This Repository contains Matlab Solutions to the Course and Course Notes as a PDF.

吴恩达老师的机器学习课程个人笔记

Machine Learning from Andrew Ng at coursera.org with Standford

Coursera AndrewNG Machine Learning Specialization Jupyter Notebook Uploads

Machine Learning course-AndrewNG(Stanford University-Coursera) assignments

# Especialização em Aprendizado de máquina - Coursera - Andrew NG 2020 octave/MATLAB

It includes all the assignments of Machine Learning Course from AndrewNg by Coursera.