{"id":27166187,"url":"https://github.com/dimonets/mit-6.036","last_synced_at":"2025-04-09T03:38:31.403Z","repository":{"id":285689853,"uuid":"959006895","full_name":"dimonets/mit-6.036","owner":"dimonets","description":"Supporting code for MIT 6.036 Machine Learning course","archived":false,"fork":false,"pushed_at":"2025-04-02T06:08:39.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-02T06:31:37.579Z","etag":null,"topics":["course","microsoft-ml","microsoft-ml-in-python","mit","mit-6-036","ml"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dimonets.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-04-02T05:49:48.000Z","updated_at":"2025-04-02T06:09:40.000Z","dependencies_parsed_at":"2025-04-02T06:41:46.471Z","dependency_job_id":null,"html_url":"https://github.com/dimonets/mit-6.036","commit_stats":null,"previous_names":["dimonets/mit-6.036"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dimonets%2Fmit-6.036","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dimonets%2Fmit-6.036/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dimonets%2Fmit-6.036/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dimonets%2Fmit-6.036/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dimonets","download_url":"https://codeload.github.com/dimonets/mit-6.036/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247974601,"owners_count":21026742,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["course","microsoft-ml","microsoft-ml-in-python","mit","mit-6-036","ml"],"created_at":"2025-04-09T03:38:30.931Z","updated_at":"2025-04-09T03:38:31.394Z","avatar_url":"https://github.com/dimonets.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Supporting Code for Machine Learning Course\n\nThis is a project with supporting code for Machine Learning course based on MIT 6.036 course and Microsoft ML for beginners course.\n\n## Courses\n\n- MIT 6.036 ML Course: [https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/course/](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/course/)\n- Microsoft ML for Beginners Course: [https://github.com/microsoft/ML-For-Beginners](https://github.com/microsoft/ML-For-Beginners)\n\n## Video Lessons\n\n1. Introduction to Machine Learning Teach by Doing: [https://lnkd.in/gqN2PMX5](https://lnkd.in/gqN2PMX5)\n2. What is Machine Learning? History of Machine Learning: [https://lnkd.in/gvpNSAKh](https://lnkd.in/gvpNSAKh)\n3. Types of ML Models: [https://lnkd.in/gSy2mChM](https://lnkd.in/gSy2mChM)\n4. 6 steps of any ML project: [https://lnkd.in/ggCGchPQ](https://lnkd.in/ggCGchPQ)\n5. Install Python and VSCode and run your first code: [https://lnkd.in/gyic7J7b](https://lnkd.in/gyic7J7b)\n6. Linear Classifiers Part 1: [https://lnkd.in/gYdfD97D](https://lnkd.in/gYdfD97D)\n7. Linear Classifiers Part 2: [https://lnkd.in/gac_z-G8](https://lnkd.in/gac_z-G8)\n8. Jupyter Notebook, Numpy and Scikit-Learn: [https://lnkd.in/gWRaC_tB](https://lnkd.in/gWRaC_tB)\n9. Running the Random Linear Classifier Algorithm in Python: [https://lnkd.in/g5HacbFC](https://lnkd.in/g5HacbFC)\n10. The oldest ML model - Perceptron: [https://lnkd.in/gpce6uFt](https://lnkd.in/gpce6uFt)\n11. Coding the Perceptron: [https://lnkd.in/gmz-XjNK](https://lnkd.in/gmz-XjNK)\n12. Perceptron Convergence Theorem: [https://lnkd.in/gmz-XjNK](https://lnkd.in/gmz-XjNK)\n13. Magic of features in Machine Learning: [https://lnkd.in/gCeDRb3g](https://lnkd.in/gCeDRb3g)\n14. One hot encoding: [https://lnkd.in/g3WfRQGQ](https://lnkd.in/g3WfRQGQ)\n15. Logistic Regression Part 1: [https://lnkd.in/gTgZAAZn](https://lnkd.in/gTgZAAZn)\n16. Cross Entropy Loss: [https://lnkd.in/g3Ywg_2p](https://lnkd.in/g3Ywg_2p)\n17. How gradient descent works: [https://lnkd.in/gKBAsazF](https://lnkd.in/gKBAsazF)\n18. Logistic Regression from scratch in Python: [https://lnkd.in/g8iZh27P](https://lnkd.in/g8iZh27P)\n19. Introduction to Regularization: [https://lnkd.in/gjM9pVw2](https://lnkd.in/gjM9pVw2)\n20. Implementing Regularization in Python: [https://lnkd.in/gRnSK4v4](https://lnkd.in/gRnSK4v4)\n21. Linear Regression Introduction: [https://lnkd.in/gPYtSPJ9](https://lnkd.in/gPYtSPJ9)\n22. Ordinary Least Squares step by step implementation: [https://lnkd.in/gnWQdgNy](https://lnkd.in/gnWQdgNy)\n23. Ridge regression fundamentals and intuition: [https://lnkd.in/gE5M-CSM](https://lnkd.in/gE5M-CSM)\n24. Regression recap for interviews: [https://lnkd.in/gNBWzzWv](https://lnkd.in/gNBWzzWv)\n25. Neural network architecture in 30 minutes: [https://lnkd.in/g7qSrkxG](https://lnkd.in/g7qSrkxG)\n26. Backpropagation intuition: [https://lnkd.in/gAmBARHm](https://lnkd.in/gAmBARHm)\n27. Neural network activation functions: [https://lnkd.in/gqrC3zDP](https://lnkd.in/gqrC3zDP)\n28. Momentum in gradient descent: [https://lnkd.in/g3M4qhbP](https://lnkd.in/g3M4qhbP)\n29. Hands on neural network training in Python: [https://lnkd.in/gz-fTBxs](https://lnkd.in/gz-fTBxs)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdimonets%2Fmit-6.036","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdimonets%2Fmit-6.036","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdimonets%2Fmit-6.036/lists"}