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CS189-259A-Projects

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UC Berkeley CS189 Coding Assignments This repository collects coding assignments completed for UC Berkeley’s CS189: Introduction to Machine Learning. Each homework focuses on implementing core machine learning algorithms and applying them to real-world datasets. Assignments Homework 1 – Support Vector Machines & Feature Engineering Main repository Extended project: Enhancing Digit Recognition with SVM & HOG Features (MNIST) Homework 3 – QDA & LDA Classifiers Repository Homework 4 – Regression Methods Repository Homework 5 – Decision Trees Repository Homework 7 – Movie Recommender System (Latent Semantic Analysis) Repository

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النجوم
16
التفريعات
11
آخر تحديث
16/09/2025
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Made in Algeria 
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Data science and machine learning are fast-paced emerging technologies across all industries including oil and gas. The oil and gas industry has taken big steps to adopt these technologies to make its exploration and production operations more efficient. This course is tailored for oil and gas industry professionals who are interested to implement data analysis and machine learning in their project development and operations.

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