{"id":18977034,"url":"https://github.com/happybravo/iisc_selectionproblems","last_synced_at":"2026-05-17T15:37:06.659Z","repository":{"id":236585718,"uuid":"792910259","full_name":"HappyBravo/IISc_selectionProblems","owner":"HappyBravo","description":"My solutions for IISc selection-problems","archived":false,"fork":false,"pushed_at":"2024-04-28T18:02:23.000Z","size":21101,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-02T14:54:55.340Z","etag":null,"topics":["bert-embeddings","classification","data-science","iisc","iisc-bangalore","llm","machine-learning","nlp","problem-solving","python","regression","vectorization"],"latest_commit_sha":null,"homepage":"","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/HappyBravo.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":"2024-04-27T22:33:39.000Z","updated_at":"2024-04-28T18:02:26.000Z","dependencies_parsed_at":"2024-04-27T23:26:46.780Z","dependency_job_id":"d3072f00-bca7-4e2e-9ec8-bea975536d40","html_url":"https://github.com/HappyBravo/IISc_selectionProblems","commit_stats":null,"previous_names":["happybravo/iisc_selectionproblems"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/HappyBravo/IISc_selectionProblems","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HappyBravo%2FIISc_selectionProblems","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HappyBravo%2FIISc_selectionProblems/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HappyBravo%2FIISc_selectionProblems/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HappyBravo%2FIISc_selectionProblems/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HappyBravo","download_url":"https://codeload.github.com/HappyBravo/IISc_selectionProblems/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HappyBravo%2FIISc_selectionProblems/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279002015,"owners_count":26083258,"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":"2025-10-09T02:00:07.460Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":["bert-embeddings","classification","data-science","iisc","iisc-bangalore","llm","machine-learning","nlp","problem-solving","python","regression","vectorization"],"created_at":"2024-11-08T15:27:23.533Z","updated_at":"2025-10-09T20:24:40.473Z","avatar_url":"https://github.com/HappyBravo.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# My Solutions for Problem 1 and 2 \n\n## Questions can be found [here](https://github.com/StarsCDS/selection-problems).\n\n---\n\n## [Solution for Problem 1](./Problem_1/)\n- incorporating new features within the model to achieve more accurate predictions.\n- utilized regression techniques to forecast the timing of the next movie.\n- used classification techniques to classify movie genres.\n\n## [Solution for Problem 2](./Problem_2/)\n- the data files are stored in the required format for further processing.\n- [One-hot encoding](https://www.geeksforgeeks.org/ml-one-hot-encoding/) is applied to categorical features within the dataset. \n- [BERT](https://huggingface.co/google-bert/bert-base-uncased) was employed to generate vector representations from textual data. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhappybravo%2Fiisc_selectionproblems","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhappybravo%2Fiisc_selectionproblems","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhappybravo%2Fiisc_selectionproblems/lists"}