Machine-Learning-Specialization-Coursera and Deep-Learning-Coursera
These are **competitors** — both provide complete assignment solutions for the same Coursera Deep Learning Specialization by Andrew Ng, so users would select one or the other based on code quality, documentation, or star rating rather than use them together.
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 Deep-Learning-Coursera
gemaatienza/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
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