Machine-Learning-Specialization-Coursera and Andrew-NG-Notes
These are competitors: one tool offers solutions and notes for a Coursera specialization, while the other provides handwritten notes for the same Andrew Ng Coursera content.
About Machine-Learning-Specialization-Coursera
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Organizes three specialization courses into structured Jupyter notebooks covering linear/logistic regression, neural networks, and unsupervised learning with hands-on labs implementing algorithms using NumPy, scikit-learn, and TensorFlow. Each week includes practice quizzes, optional labs demonstrating core concepts (gradient descent, vectorization, feature scaling), and graded programming assignments with complete solutions. The implementation emphasizes vectorized NumPy operations and comparison between manual gradient descent implementations and scikit-learn's optimized solvers.
About Andrew-NG-Notes
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
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