arjunan-k/Machine-Learning
Machine Learning Specialization by Andrew Ng in collaboration between DeepLearning.AI and Stanford Online in Coursera.
This collection provides comprehensive study materials for anyone looking to understand core machine learning concepts. You'll find detailed notes and explanations covering supervised learning (like predicting house prices or classifying emails), advanced algorithms, and unsupervised methods (like customer segmentation). This is ideal for students, aspiring data scientists, or professionals wanting to build a foundational understanding of how machine learning works.
No commits in the last 6 months.
Use this if you are a learner or practitioner seeking to grasp the fundamental principles and practical applications of machine learning through a structured, educational approach.
Not ideal if you are looking for ready-to-use code, a specific machine learning model to implement immediately, or a dataset to analyze without prior learning.
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MIT
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Jan 14, 2023
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