{"id":18710911,"url":"https://github.com/sayamalt/lgmvip-data-science","last_synced_at":"2025-11-09T14:30:19.880Z","repository":{"id":133945162,"uuid":"408171858","full_name":"SayamAlt/LGMVIP-Data-Science","owner":"SayamAlt","description":null,"archived":false,"fork":false,"pushed_at":"2021-09-19T16:08:19.000Z","size":4794,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-28T08:09:58.558Z","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/SayamAlt.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":"2021-09-19T16:00:56.000Z","updated_at":"2021-09-19T16:08:21.000Z","dependencies_parsed_at":"2024-08-23T11:15:07.485Z","dependency_job_id":null,"html_url":"https://github.com/SayamAlt/LGMVIP-Data-Science","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SayamAlt%2FLGMVIP-Data-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SayamAlt%2FLGMVIP-Data-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SayamAlt%2FLGMVIP-Data-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SayamAlt%2FLGMVIP-Data-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SayamAlt","download_url":"https://codeload.github.com/SayamAlt/LGMVIP-Data-Science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239576619,"owners_count":19662109,"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":[],"created_at":"2024-11-07T12:36:11.582Z","updated_at":"2025-11-09T14:30:19.829Z","avatar_url":"https://github.com/SayamAlt.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LGMVIP-DataScience\nThis repo consists of some of the Tasks of LGMVIP, containing various supervised and unsupervised machine learning techniques to solve real-life problems in a synchronized and systematic way.\n\n# Direct Link\n* [Iris Flowers Classification](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/Iris%20Flowers%20Classification%20using%20ML.ipynb)\n* [Stock Market Prediction And Forecasting Using Stacked LSTM](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/Stock%20Market%20Prediction%20%26%20Forecasting%20using%20Stacked%20LSTM.ipynb)\n* [Exploratory Data Analysis on Dataset - Terrorism](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/EDA%20on%20Global%20Terrorism%20Dataset.ipynb)\n* [Prediction using Decision Tree Algorithm - Iris Dataset](https://github.com/SayamAlt/LGMVIP-Data-Science/blob/main/Prediction%20using%20Decision%20Tree%20Algorithm.ipynb)\n\n# Prerequisites (For Execution of the Models/Programs)\n```\npip install keras\npip install tensorflow\npip install numpy\npip install pandas\npip install jupyter\npip install seaborn\npip install scipy\npip install matplotlib\npip install scikit-learn\n```\n# 🛠 Build with \n* Scikit-learn\n* Keras\n* Tensorflow\n\n# Author \n* [Sayam Kumar](https://www.linkedin.com/in/sayam-kumar/)\n\n# 🙏Acknowledgments\n* Special Thanks to [LGM](https://www.linkedin.com/company/letsgrowmore/) And [Mr. Aman Kesarwani](https://www.linkedin.com/in/~amankesarwani/) for this wonderful internship program and for arousing inspiration to do better.\n\n# 💡IDE \n```\nJupyter Notebook\n```\n# 👏And it's done!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsayamalt%2Flgmvip-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsayamalt%2Flgmvip-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsayamalt%2Flgmvip-data-science/lists"}