{"id":22018183,"url":"https://github.com/codeharik/fireshadow","last_synced_at":"2026-05-06T18:37:21.186Z","repository":{"id":219152975,"uuid":"747565045","full_name":"CodeHariK/FireShadow","owner":"CodeHariK","description":null,"archived":false,"fork":false,"pushed_at":"2024-10-22T17:39:27.000Z","size":57388,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-23T09:35:19.796Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/CodeHariK.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":"2024-01-24T07:29:04.000Z","updated_at":"2024-10-22T17:39:31.000Z","dependencies_parsed_at":"2024-01-25T19:26:00.522Z","dependency_job_id":"ddca7262-04df-4ac6-a49e-34e2fa5a4b2b","html_url":"https://github.com/CodeHariK/FireShadow","commit_stats":null,"previous_names":["codeharik/fireshadow"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/CodeHariK/FireShadow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeHariK%2FFireShadow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeHariK%2FFireShadow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeHariK%2FFireShadow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeHariK%2FFireShadow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CodeHariK","download_url":"https://codeload.github.com/CodeHariK/FireShadow/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeHariK%2FFireShadow/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266708150,"owners_count":23971940,"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","status":"online","status_checked_at":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-30T05:10:49.513Z","updated_at":"2026-05-06T18:37:21.181Z","avatar_url":"https://github.com/CodeHariK.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FireShadow\n\n* https://madewithml.com/\n\n* [MIT 6.034 Artificial Intelligence](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi)\n\n* [Harvard CS50’s Artificial Intelligence with Python – Full University Course](https://www.youtube.com/watch?v=5NgNicANyqM)\n\n* [Neural Networks: Zero to Hero Andrej Karpathy](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)\n\n* [Machine Learning for Everybody – Full Course](https://www.youtube.com/watch?v=i_LwzRVP7bg)\n\n* [Learn PyTorch for deep learning in a day. Literally.](https://www.youtube.com/watch?v=Z_ikDlimN6A)\n\n* [Python Data Analysis and Visualization Course – Astronomical Data](https://www.youtube.com/watch?v=H9KefzbryEw)\n\n* [CS246, Mining Massive Data Sets](https://www.youtube.com/playlist?list=PLoCMsyE1cvdVnCgHk43vRy7PVTVWJ6WVR)\n\n* [MLOps Course – Build Machine Learning Production Grade Projects](https://www.youtube.com/watch?v=-dJPoLm_gtE)\n\n* [Data Engineering Course for Beginners](https://www.youtube.com/watch?v=PHsC_t0j1dU)\n\n* [Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases](https://www.youtube.com/watch?v=mEsleV16qdo\u0026ab_channel=freeCodeCamp.org)\n\n* https://www.udemy.com/course/machine-learning-data-science-foundations-masterclass/\n* https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/\n* https://www.udemy.com/course/practical-mlops-for-data-scientists-devops-engineers-aws/\n* https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/\n* https://www.udemy.com/course/taming-big-data-with-apache-spark-hands-on/\n* https://www.udemy.com/course/aws-machine-learning/\n* https://www.udemy.com/course/aws-data-engineer/\n* https://www.udemy.com/course/aws-data-analytics/\n\n## Books\n\n* Data Science on AWS\n* Data Engineering with AWS\n* Becoming a Data Head\n\n* Algorithms (The MIT Press Essential Knowledge series)\n\n* MATHEMATICS FOR MACHINE LEARNING\n* Practical Statistics for Data Scientists\n\n* Data Science From Scratch\n* DATA SCIENCE (The MIT Press Essential Knowledge series)\n* Fundamentals of Data Engineering\n\n* Learning Spark\n* Spark: The Definitive Guide\n* Python Data Science Handbook\n\n* Designing Machine Learning Systems\n\n* The Hundred-Page Machine Learning Book\n* Machine Learning using Python\n* Machine Learning: The New AI (The MIT Press Essential Knowledge series)\n* Machine Learning Simplified\n* Machine Learning Engineering\n* Machine Learning: A Probabilistic Perspective\n* Probabilistic Machine Learning\n\n* Deep Learning: A Visual Approach\n* Deep Learning (Ian Goodfellow)\n* Deep Learning for Coders with Fastai and PyTorch\n* Deep Learning (Adaptive Computation and MATHEMATICS FOR MACHINE LEARNINGe Learning series)\n* DEEP LEARNING ILLUSTRATED\n* DEEP LEARNING (The MIT Press Essential Knowledge series)\n* Deep Learning from Scratch\n* Understanding Deep Learning\n\n* Natural Language Processing with Transformers\n* Generative Deep Learning\n\n* PATTERN RECOGNITION AND MACHINE LEARNING\n\n* Reinforcement Learning\n\n### Talks\n\n* [How to Handle Very Large Data with Python](https://www.youtube.com/watch?v=YDP0ZRIdavw)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeharik%2Ffireshadow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodeharik%2Ffireshadow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeharik%2Ffireshadow/lists"}