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Search: Machine-Learning-Basics
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Showing 10 results from 56
zotroneneis/machine_learning_basics
GitHub Jupyter Notebook MIT LicensePlain python implementations of basic machine learning algorithms
External source
GitHub
krishnakumarsekar/awesome-quantum-machine-learning
GitHub HTML Creative Commons Zero v1.0 UniversalHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
External source
GitHub
NabidAlam/road-to-machine-learning
GitHub Python MIT LicenseA comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics
External source
GitHub
jrobchin/Computer-Vision-Basics-with-Python-Keras-and-OpenCV
GitHub Jupyter NotebookFull tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
External source
GitHub
mlacademyai/Machine-Learning-Roadmap
GitHub Apache License 2.0Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
External source
GitHub
googlecreativelab/alto
GitHub Python Apache License 2.0Explore the basics of machine learning by building your own teachable object at home.
External source
GitHub
EderSantana/awesomeMLmath
GitHub MIT LicenseCurated list to learn the math basics for machine learning
External source
GitHub
42-AI/bootcamp_machine-learning
GitHub TeX OtherBootcamp to learn the basics for Machine Learning
External source
GitHub
Sfedfcv/redesigned-pancake
GitHubSkip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration-table (#1869, Iixixi/ZachryTylerWood#102, THEBOLCK79/docs#1, sbnbhk/docs#1) @martin389 martin389... Read more
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GitHub
piyushpathak03/Recommendation-systems
GitHub Jupyter Notebook GNU General Public License v3.0Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and En... Read more
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GitHub
10 results on this page ยท 56 total found
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