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Search: Introduction-to-Machine-Learning
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Showing 7 results from 207
wncc/Machine-Learning-LS-25
GitHubOfficial GitHub repo for WnCC's course: Introduction to Machine Learning and NLP
External source
GitHub
kaust-vislab/introduction-to-ml-with-sklearn
GitHub Jupyter Notebook BSD 3-Clause "New" or "Revised" LicenseIntroduction to Machine Learning with Scikit-Learn workshop materials
External source
GitHub
TimBstn/Python-for-Algorithmic-Trading-From-Idea-to-Cloud-Deployment
GitHub Jupyter Notebook MIT LicenseThis code gives a broad introduction to 4 different Algorithmic Trading Strategies: Momentum, Mean Reversion, Moving Averages and Machine Learning.
External source
GitHub
pukkapies/igssm
GitHub Jupyter NotebookRepository for the Introduction to Machine Learning and Deep Learning course as part of the International Graduate Summer School in Mathematics
External source
GitHub
jdwilson4/Intro-to-Machine-Learning
GitHub RThis is the course website for MATH 373: "Introduction to Machine Learning" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.
External source
GitHub
Ali-Alameer/Machine-Vision
GitHub Jupyter Notebook MIT LicenseThis GitHub repository offers examples in object detection, image classification, and transfer learning using TensorFlow and PyTorch. It provides a hands-on introduction to these machine vision techniques, serving as a starting point for further development and experimentation
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GitHub
rajdeepbanerjee-git/JNCLectures_Intro_to_ML
GitHub Jupyter Notebook MIT LicenseThis repository contains the lecture notes, slides and hands-on notebooks prepared for a semester-long course on "Introduction to machine learning".
External source
GitHub
7 results on this page ยท 207 total found
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