{"id":14979722,"url":"https://github.com/abidshafee/datascienceyoutubetutorials","last_synced_at":"2026-02-19T11:33:22.943Z","repository":{"id":178773719,"uuid":"293066358","full_name":"abidshafee/DataScienceYouTubeTutorials","owner":"abidshafee","description":"This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube","archived":false,"fork":false,"pushed_at":"2021-04-02T11:02:34.000Z","size":16562,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-04T22:18:36.924Z","etag":null,"topics":["cs","cs-school","data-science","deep-learning","deep-neural-networks","machine-learning","shafekul-abid","video-tutorials","youtube","youtube-channel"],"latest_commit_sha":null,"homepage":"https://www.youtube.com/channel/UCaHIYtEh4EmVIGwca0pnfYg","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/abidshafee.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":"2020-09-05T11:56:11.000Z","updated_at":"2022-01-22T16:26:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"2297fee8-b500-485e-a66a-c280ee30db32","html_url":"https://github.com/abidshafee/DataScienceYouTubeTutorials","commit_stats":{"total_commits":211,"total_committers":1,"mean_commits":211.0,"dds":0.0,"last_synced_commit":"ce2bd47fae725a95d6d828e3843ab41dec22f96f"},"previous_names":["abidshafee/datascienceyoutubetutorials"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/abidshafee/DataScienceYouTubeTutorials","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abidshafee%2FDataScienceYouTubeTutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abidshafee%2FDataScienceYouTubeTutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abidshafee%2FDataScienceYouTubeTutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abidshafee%2FDataScienceYouTubeTutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abidshafee","download_url":"https://codeload.github.com/abidshafee/DataScienceYouTubeTutorials/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abidshafee%2FDataScienceYouTubeTutorials/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264940386,"owners_count":23686243,"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":["cs","cs-school","data-science","deep-learning","deep-neural-networks","machine-learning","shafekul-abid","video-tutorials","youtube","youtube-channel"],"created_at":"2024-09-24T14:00:33.147Z","updated_at":"2025-10-15T23:18:57.654Z","avatar_url":"https://github.com/abidshafee.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DataScienceYouTubeTutorials\nThis Repository will hold Data Science code I 've shown in my video tutorials in \n - [YouTube channel](https://www.youtube.com/channel/UCaHIYtEh4EmVIGwca0pnfYg)\n   - [Label Encoding](https://youtu.be/kW1Sm8S1Jf0)\n   - [Optimizing input Parameters for Machine Learning Models | Correlation Matrix | ExtraTreesRegressor()](https://youtu.be/dtK7XNn9x9c)\n   - [Breast Cancer Prediction Model Using Artificial Neural Network (ANN) | Keras Sequential](https://youtu.be/wk5Y5tP4NhU)\n   - [Principal Component Analysis | PCA 2D Graph | Scatter-plot with Legends](https://youtu.be/vt13NPz4_Es)\n   - [Hierarchical Clustering | Unsupervised Cluster Analysis | Python Implementation](https://youtu.be/g27eRAe5ylw)\n   - [K Nearest Neighbor | KNN | sklearn KNeighborsClassifier](https://youtu.be/Tq5QVLuwbBE)\n\nRead Our Blog on: \n  - [Hierarchical Clustering](https://csschoolonline.xyz/hierarchical-clustering-python-implementation/)\n  - [Overfitting and Underfitting](https://csschoolonline.xyz/overfitting-and-underfitting-dataset-high-variance-and-high-bias/)\n  - [Principal Component Analysis](https://csschoolonline.xyz/principal-component-analysis-pca-2d-graph-scatter-plot-with-legends/)\n  - [K Nearest Neighbor | KNN ](https://csschoolonline.xyz/k-nearest-neighbor-knn-sklearn-kneighborsclassifier/)\n  - [Breast Cancer Prediction Model | Keras Sequential Model](https://csschoolonline.xyz/breast-cancer-prediction-model-keras-sequential-model/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabidshafee%2Fdatascienceyoutubetutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabidshafee%2Fdatascienceyoutubetutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabidshafee%2Fdatascienceyoutubetutorials/lists"}