π Live Open Source Explorer
Explore live open-source projects and AI models.
Search public open-source repositories from GitHub and AI models from Hugging Face. Every page shows 10 results with clean pagination.
π Live Search
Search live open-source data
Search GitHub repositories and Hugging Face models directly, then explore stars, downloads, source links and project details.
Live Results
GitHub Open Source Repositories
Search: Mastering-Machine-Learning-Algorithms
Page 2
Showing 10 results from 22
Aryia-Behroziuan/Other-sources
GitHubAsada, M.; Hosoda, K.; Kuniyoshi, Y.; Ishiguro, H.; Inui, T.; Yoshikawa, Y.; Ogino, M.; Yoshida, C. (2009). "Cognitive developmental robotics: a survey". IEEE Transactions on Autonomous Mental Development. 1 (1): 12β34. doi:10.1109/tamd.2009.2021702. S2CID 10168773. "ACM Computing Classification ... Read more
External source
GitHub
rohanmistry231/AI-ML-Books
GitHub MIT LicenseA curated collection of books, summaries, and resources focused on artificial intelligence and machine learning, covering algorithms, deep learning, and practical applications. Designed to support learners and professionals in mastering AI/ML concepts with recommended readings and notes.
External source
GitHub
Aqib747/OpenCv-fantastic-Books
GitHubDelve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning tools for image cla... Read more
External source
GitHub
max-fitzpatrick/Machine_learning_trading_algorithm
GitHub PythonMaster's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals
External source
GitHub
rohanmistry231/Data-Science-Interview-Courses-Materials
GitHub MIT LicenseA curated collection of resources, notes, and practice materials for preparing for data science interviews, covering algorithms, statistics, and machine learning concepts. Includes coding exercises, cheat sheets, and reference guides to aid in mastering technical interviews.
External source
GitHub
rohanmistry231/ML-Interview-Preparation-Hub
GitHub MIT LicenseA curated collection of resources, notes, and practice problems for mastering machine learning concepts and acing technical interviews. Covers algorithms, coding challenges, and theoretical questions with Python examples and detailed explanations.
External source
GitHub
Nishant-Wadhwani/Intelligent-Infotainment-System-for-Automobiles
GitHub Jupyter Notebook# Intellifotainment assistβ β Smart HMI for passenger cars To run the program, download all files and save them in the same directory. After that, simply run 'Master.py' in the terminal. At the moment, the program will only run in linux based systems. # The Idea Infotainment systems have com... Read more
External source
GitHub
enjoyalgorithms/Machine-learning-project-code
GitHub Jupyter Notebook MIT LicenseA collection of Industry based Machine Learning projects for students and professionals who want to mention projects in their CVs, master ML algorithms, and prepare for ML interviews.
External source
GitHub
PacktPublishing/Mastering-Machine-Learning-Algorithms-using-Python
GitHub Jupyter NotebookNo description available from source.
External source
GitHub
dia2018/What-is-the-Difference-Between-AI-and-Machine-Learning
GitHubArtificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning a... Read more
External source
GitHub
10 results on this page Β· 22 total found
Showing first 22 accessible GitHub results.