{"id":16653118,"url":"https://github.com/nitin-bommi/machine-learning-interface","last_synced_at":"2025-04-09T18:07:31.572Z","repository":{"id":37639233,"uuid":"279220874","full_name":"nitin-bommi/machine-learning-interface","owner":"nitin-bommi","description":"Need not code to compare different models. Drop the .csv file and build the model with amazing UI.","archived":false,"fork":false,"pushed_at":"2024-02-01T21:46:18.000Z","size":31,"stargazers_count":7,"open_issues_count":3,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-23T20:04:14.278Z","etag":null,"topics":["ai","algorithms","artificial-intelligence","machine-learning","ml","model","neural-networks","python","sklearn","streamlit","ui"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nitin-bommi.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":"2020-07-13T05:39:27.000Z","updated_at":"2024-11-06T13:37:15.000Z","dependencies_parsed_at":"2025-04-09T18:03:16.682Z","dependency_job_id":null,"html_url":"https://github.com/nitin-bommi/machine-learning-interface","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/nitin-bommi%2Fmachine-learning-interface","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin-bommi%2Fmachine-learning-interface/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin-bommi%2Fmachine-learning-interface/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin-bommi%2Fmachine-learning-interface/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nitin-bommi","download_url":"https://codeload.github.com/nitin-bommi/machine-learning-interface/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248084302,"owners_count":21045124,"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":["ai","algorithms","artificial-intelligence","machine-learning","ml","model","neural-networks","python","sklearn","streamlit","ui"],"created_at":"2024-10-12T09:43:09.342Z","updated_at":"2025-04-09T18:07:31.567Z","avatar_url":"https://github.com/nitin-bommi.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ML interface\n\nThis application is capable of building the model, save it for future purpose, without writing a single piece of code! \n\u003cbr\u003e\nA special library, `Streamlit` is used to develop the application's interface. The documentation can be found [here](https://docs.streamlit.io/en/stable/)\n\n### 🦾 Usage\n\n* The application can be found [here.](https://machine-learning-interface.herokuapp.com/)\n* Upload the `.csv` file you wanted to build the model on.\n* Select the *features/columns* form the drop-down menu.\n* Handle the *missing data(NaN)* using different strategies. (A warning is displayed if it cannot be added. Try another strategy)\n* *Enccode* the columns for training. (One-Hot encoder)\n* Split the data into *training* and *dev/test sets.* (The max. split is set to 0.3 i.e., the dataset is split in the ratio, 70/30)\n* *Normalise* the data. \n* Select the *algorithm* for predicting.\n* *Modify the hyperparameters* on the sidebar for better results.\n* Click `save` button to *save the model* for later use.\n\n### ⛏️ Develop\n\n* Clone the repository from above or in the commad line use:\n```console\n$ git clone https://github.com/Nitin1901/machine-learning-interface.git\n```\n* Change you current working directory.\n```console\n$ cd machine-learning-interface\n```\n* Create a virtual environment(recommended) and activate.\n```console\n$ python -m venv ml-intreface\n$ ml-interface\\Scripts\\activate.bat\n```\n* Install the required packages from `requirements.txt`. You can manually install each package or use:\n```console\n$ pip install -r requirements.txt\n```\n* Open `app.py` in a text editor and start making changes.\n* Run the app locally \n```console\n$ streamlit run app.py\n``` \n\n*If you wish to contribute, `fork` the repository, develop and create a `pull request`.*\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnitin-bommi%2Fmachine-learning-interface","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnitin-bommi%2Fmachine-learning-interface","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnitin-bommi%2Fmachine-learning-interface/lists"}