{"id":22118165,"url":"https://github.com/akash1070/machine-learning-","last_synced_at":"2026-04-28T20:37:05.811Z","repository":{"id":231695586,"uuid":"531385012","full_name":"Akash1070/Machine-Learning-","owner":"Akash1070","description":"Learning Machine Learning Through Data ","archived":false,"fork":false,"pushed_at":"2022-09-07T11:33:28.000Z","size":4873,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-29T11:52:23.063Z","etag":null,"topics":["area-under-curve","bootstrap-sampling","data-science","ensemble-techniques","grid-search-cv","hierarchical-clustering","k-fold-cross-validation","k-means-clustering","k-nearest-neighbours","leave-one-out-cross-validation","linear-regression","logistic-regression","machine-learning","naive-bayes","python","random-search","receiver-operating-characteristic","support-vector-machine","underfitting-overfitting"],"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/Akash1070.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":"Support_Vector_Machine.ipynb","governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2022-09-01T06:03:30.000Z","updated_at":"2022-09-07T04:21:08.000Z","dependencies_parsed_at":"2024-04-05T11:55:36.990Z","dependency_job_id":null,"html_url":"https://github.com/Akash1070/Machine-Learning-","commit_stats":null,"previous_names":["akash1070/machine-learning-"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FMachine-Learning-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FMachine-Learning-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FMachine-Learning-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FMachine-Learning-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Akash1070","download_url":"https://codeload.github.com/Akash1070/Machine-Learning-/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245217946,"owners_count":20579300,"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":["area-under-curve","bootstrap-sampling","data-science","ensemble-techniques","grid-search-cv","hierarchical-clustering","k-fold-cross-validation","k-means-clustering","k-nearest-neighbours","leave-one-out-cross-validation","linear-regression","logistic-regression","machine-learning","naive-bayes","python","random-search","receiver-operating-characteristic","support-vector-machine","underfitting-overfitting"],"created_at":"2024-12-01T13:48:03.004Z","updated_at":"2026-04-28T20:37:00.768Z","avatar_url":"https://github.com/Akash1070.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# **Machine Larning**\n\n**Self Learning of Machine Learning Algorithm**\n\n\nnaive-bayes, \nlinear-regression,\nlogistic-regression, \nsupport-vector-machine, \nrandom-search,\nk-nearest-neighbours,\nhierarchical-clustering, \nreceiver-operating-characteristic, \nk-means-clustering, \nleave-one-out-cross-validation, \narea-under-curve, \nbootstrap-sampling, \nk-fold-cross-validation, \nunderfitting-overfitting, \ngrid-search-cv, \nensemble-techniques\n\n## Authors\n\n- [@Akash Kumar Jha](https://github.com/Akash1070)\n\n\n## Installation\n\nTo install the libraries used in this project. Follow the \nbelow steps:\n\n```bash\nimport pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom sklearn.model_selection import train_test_split\n\n%matplotlib inline\n```\n    \n## Running Flask Api\n\nTo run tests, run the following command\n\n```bash\n  python app.py\n```\n\n\n## 🚀 About Me\n\nData Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data \n\n\n# Hi, I'm Akash! 👋\n\n\n## 🔗 Links\n[![github](https://img.shields.io/badge/github-000?style=for-the-badge\u0026logo=ko-fi\u0026logoColor=white)](https://github.com/Akash1070)\n[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/akashkumar107/)\n## Other Common Github Profile Sections\n👩‍💻 I’m interested in Petroleum Engineering\n\n🧠 I’m currently learning Data Scientist\n\n👯‍♀️ I’m looking to collaborate on Ideas \u0026 Data\n\n\n\n\n## 🛠 Skills\n1. Data Scientist\n2. Data Analyst\n3. Business Analyst\n4. Machine Learning \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakash1070%2Fmachine-learning-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakash1070%2Fmachine-learning-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakash1070%2Fmachine-learning-/lists"}