{"id":27994517,"url":"https://github.com/surajsanap/technohack_mlinternship","last_synced_at":"2025-05-08T19:13:27.646Z","repository":{"id":195474084,"uuid":"692977327","full_name":"SurajSanap/Technohack_MLinternship","owner":"SurajSanap","description":"1) Wine Quality Analysis and Classification, 2)Movie Review Sentiment Analysis, 3)Diabetes Prediction Using Machine Learning","archived":false,"fork":false,"pushed_at":"2023-09-18T05:20:55.000Z","size":1569,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-08T19:13:06.024Z","etag":null,"topics":["deep-learning","machine-learning","pandas","python","scikit-learn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SurajSanap.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-09-18T05:17:02.000Z","updated_at":"2024-01-13T01:18:43.000Z","dependencies_parsed_at":"2023-09-18T06:25:38.461Z","dependency_job_id":"a8d52ac0-eaa1-4171-baba-67fbd3887f79","html_url":"https://github.com/SurajSanap/Technohack_MLinternship","commit_stats":null,"previous_names":["surajsanap/technohack_mlinternship"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FTechnohack_MLinternship","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FTechnohack_MLinternship/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FTechnohack_MLinternship/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FTechnohack_MLinternship/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SurajSanap","download_url":"https://codeload.github.com/SurajSanap/Technohack_MLinternship/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253133114,"owners_count":21859112,"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":["deep-learning","machine-learning","pandas","python","scikit-learn"],"created_at":"2025-05-08T19:13:27.017Z","updated_at":"2025-05-08T19:13:27.640Z","avatar_url":"https://github.com/SurajSanap.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Machine Learing Models\n\n# Wine Quality Analysis and Classification\nThis project involves the analysis and classification of wine quality using Python. It utilizes popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn.\n\n# Movie Review Sentiment Analysis\nThis repository contains Python code for performing sentiment analysis on movie reviews using deep learning techniques. It demonstrates how to preprocess text data, create a deep learning model, and make predictions on test data.\n\n# Diabetes Prediction Using Machine Learning\nThis repository contains a Jupyter Notebook named \"Diabetes Pred task 1.ipynb\" for a machine learning project focused on predicting diabetes in patients based on various features. The project utilizes the Pima Indians Diabetes Database.\n\n\n## Getting Started\n\nTo run this project, you will need to have Python and the following libraries installed:\n\n- NumPy\n- Pandas\n- Matplotlib\n- Seaborn\n- Scikit-Learn\n\nYou can install these libraries using pip:\n\n```bash\npip install numpy pandas matplotlib seaborn scikit-learn\n\n## Preprocessing\n\nText preprocessing is a crucial step in sentiment analysis. In the code, text data is preprocessed by:\n\n- Removing HTML tags\n- Removing URLs\n- Removing special characters and punctuation\n- Tokenizing the text\n- Removing emojis\n- Cleaning non-alphabetical characters\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsurajsanap%2Ftechnohack_mlinternship","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsurajsanap%2Ftechnohack_mlinternship","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsurajsanap%2Ftechnohack_mlinternship/lists"}