{"id":25905358,"url":"https://github.com/evan-dg31/data-science","last_synced_at":"2026-04-13T05:49:07.265Z","repository":{"id":279172521,"uuid":"937927023","full_name":"evan-dg31/Data-Science","owner":"evan-dg31","description":"Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering","archived":false,"fork":false,"pushed_at":"2025-02-24T07:31:45.000Z","size":1294,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-24T07:34:54.975Z","etag":null,"topics":["classification","clustering","data-analysis","data-science","data-visualization","machine-learning","matplotlib","numpy","pandas","python","regression-analysis","seaborn"],"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/evan-dg31.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":"2025-02-24T06:19:33.000Z","updated_at":"2025-02-24T07:31:49.000Z","dependencies_parsed_at":"2025-02-24T07:34:57.398Z","dependency_job_id":"edf0ed24-195a-4eb2-bc01-07cde43f3d1c","html_url":"https://github.com/evan-dg31/Data-Science","commit_stats":null,"previous_names":["evan-dg31/data-science"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/evan-dg31%2FData-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/evan-dg31%2FData-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/evan-dg31%2FData-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/evan-dg31%2FData-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/evan-dg31","download_url":"https://codeload.github.com/evan-dg31/Data-Science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241610990,"owners_count":19990508,"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":["classification","clustering","data-analysis","data-science","data-visualization","machine-learning","matplotlib","numpy","pandas","python","regression-analysis","seaborn"],"created_at":"2025-03-03T05:14:54.406Z","updated_at":"2025-12-31T01:04:07.106Z","avatar_url":"https://github.com/evan-dg31.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"![Image](https://github.com/user-attachments/assets/8653788b-e09a-44c1-89a6-34a776cdb015)\n\n# Data-Science\n\nThis repository contains a data science project focused on analyzing and modeling data to gain insights and make predictions.\n1. [Exploratory Data Analysis (EDA)](https://github.com/evan-dg31/Data-Science/tree/61d823c27159d03c327c95d0695285cfa45d1518/Exploratory%20Data%20Analysis%20(EDA)) - including scoping, data gathering \u0026 cleaning, EDA, and feature engineering\n2. [Regression Analysis](https://github.com/evan-dg31/Data-Science/tree/62391724f4942933035562a1e8184c60fee908b3/Regressions) - including [Simple Regression](https://github.com/evan-dg31/Data-Science/tree/62391724f4942933035562a1e8184c60fee908b3/Regressions/Simpler%20Regression) and [Multiple Linear Regression](https://github.com/evan-dg31/Data-Science/tree/62391724f4942933035562a1e8184c60fee908b3/Regressions/Multiple%20Linear%20Regression) \u0026 regularized regression, forecasting, and validation \u0026 testing.\n\n3. Classification Analysis - including KNN, logistic regression, decision trees, random forests, GBMs, XGBoost\n4. Cluster Analysis - including clustering, anomaly detection, dimensionality reduction, and recommenders\n5. Advance Data Science - including NLP, Deep Learning, RNN, LSTM, GRU RNN\n\n\nEach project has more detailed documentation tht explains the summary and key takeaways of the project.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fevan-dg31%2Fdata-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fevan-dg31%2Fdata-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fevan-dg31%2Fdata-science/lists"}