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Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
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#BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng.
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
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This repository contains Jupyter notebooks from Andrew Ng's courses, intended solely for educational and personal learning purposes. All rights to the original course content and materials belong to their respective copyright holders. This repository is not associated with, endorsed by, or affiliated with Andrew Ng or any of his courses.
27/100 healthBy the end of this Specialization, you will be ready to:
-Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
In the first course of the Machine Learning Specialization, you will:
In the second course of the Machine Learning Specialization, you will:
In the third course of the Machine Learning Specialization, you will:
TOP INSTRUCTOR Instructor Founder, DeepLearning.AI & Co-founder, Coursera
Curriculum Architect Product Lead, DeepLearning.AI
TOP INSTRUCTOR Curriculum Engineer
TOP INSTRUCTOR Curriculum Engineer DeepLearning.AI
Azmine Toushik Wasi
