UCBerkeley-CS189-Sp24-Machine-Learning

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This repo contains all the materials and solutions of UC Berkeley CS189/289A spring semester 2024

Last updated Aug 8, 2026

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#berkeley #cnn #cs189 #cs289a #decision-trees #deep-learning #deeplearning #linear-regression #logistic-regression #machine-learning #machinelearning #neural-network #python #recommender-system #supervised-learning #ucb #ucberkeley #unsupervised-learning

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README

UCBerkeley-CS189-Sp24-Machine_Learning

This repository contains all the materials of the course "Introduction to Machine Learning" in the UC Berkeley CS189/289A in the semester of spring 2024, including the discussions, exams and my solutions of all the 6 homework (hw2 does not involve coding part).

One can find the course website here.

Since some datasets in the homework are too large to upload to GitHub, ~I will not upload the datasets in this repository~. However, you can find the datasets on the course website, which have the suffix as follows:

*.npy *.npz

and I also uploaded all the blank homework .zip files in the Releases, which contain the whole large datasets, you can also download them there.

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