{"id":21884952,"url":"https://github.com/archismwanchatterjee/parkinson_detection","last_synced_at":"2026-05-18T02:36:19.598Z","repository":{"id":241802942,"uuid":"798409297","full_name":"ArchismwanChatterjee/Parkinson_Detection","owner":"ArchismwanChatterjee","description":null,"archived":false,"fork":false,"pushed_at":"2024-05-28T18:00:46.000Z","size":10420,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-26T04:57:40.619Z","etag":null,"topics":["audio-processing","bagging-classifier","classification-algorithm","ensemble-learning","feature-extraction","feature-selection","librosa","mrmr","networkx-graph","streamlit"],"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/ArchismwanChatterjee.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-05-09T18:05:36.000Z","updated_at":"2024-05-29T14:49:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"d9dcc4ce-befe-4c20-8826-7cfae7b8ccd5","html_url":"https://github.com/ArchismwanChatterjee/Parkinson_Detection","commit_stats":null,"previous_names":["archismwanchatterjee/parkinson_detection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ArchismwanChatterjee/Parkinson_Detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchismwanChatterjee%2FParkinson_Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchismwanChatterjee%2FParkinson_Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchismwanChatterjee%2FParkinson_Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchismwanChatterjee%2FParkinson_Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ArchismwanChatterjee","download_url":"https://codeload.github.com/ArchismwanChatterjee/Parkinson_Detection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArchismwanChatterjee%2FParkinson_Detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33162688,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T22:39:12.733Z","status":"online","status_checked_at":"2026-05-18T02:00:06.436Z","response_time":71,"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":["audio-processing","bagging-classifier","classification-algorithm","ensemble-learning","feature-extraction","feature-selection","librosa","mrmr","networkx-graph","streamlit"],"created_at":"2024-11-28T10:17:39.929Z","updated_at":"2026-05-18T02:36:19.593Z","avatar_url":"https://github.com/ArchismwanChatterjee.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## File Description :\n\n1. Parkinsson Disease.csv : Dataset 1 with 22 features.\n2. pd_speech_features.csv : Dataset 2 with 753 features.\n3. Model_1st_Dataset.ipynb : Contains the unique bagging model trained on dataset 1 [Note: Used MRMR as feature selection ]\n4. Model_2nd_Dataset.ipynb : Contains the unique bagging model trained on dataset 2 [Note: Used MRMR as feature selection ]\n5. model_testing.ipynb : Contains the metrics of the classifier models, without FS, that are used in the bagging classifier. \n6. pearson_selection_resampling.ipynb : Contains the code of the new model [ New feature selection + sample resampling + new bagging model where the bags are based on the samples ]\n7. FS_classif.ipynb : Contains the metrics of the classifier models, with FS, that are used in the bagging classifier.\n8. audio_extractor.py : A Streamlit application which basically process the audio file, to extract the features, you upload. [Check it out here](https://audio-extractor.streamlit.app/)\n\n## Few points to note:\n\n1. Files 3 and 4 are for understanding the classifier model. Note that here the classification model includes feature resampling and mrmr as feature selection method. \n2. Currently the files 5,6,7 contains \"pd_speech_features.csv\" as the dataset.\n3. To use \"Parkinson Disease.csv\" simply replace the dataset and replace 'id' with 'name', 'class' with 'status'.\n\n```python\nimport numpy as np\nimport pandas as pd\n\ndf = pd.read_csv(\"Parkinsson disease.csv\")\n\n# Data Cleaning\ndf.drop('name', axis=1, inplace=True)\n\n# Data preprocessing\nX= df.drop('status', axis=1)\nY= df['status']\n```\n\n```python\nimport numpy as np\nimport pandas as pd\n\ndf = pd.read_csv('pd_speech_features.csv')\n\n# Data cleaning\ndf = df.drop('id', axis=1)  # Remove the 'name' column\n\n# Data preprocessing\nX = df.drop('class', axis=1) \nY = df['class']  \n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farchismwanchatterjee%2Fparkinson_detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farchismwanchatterjee%2Fparkinson_detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farchismwanchatterjee%2Fparkinson_detection/lists"}