{"id":25452301,"url":"https://github.com/aicorsair/dataquest-data-science-analysis-projects","last_synced_at":"2025-10-27T15:43:10.732Z","repository":{"id":236471694,"uuid":"792691452","full_name":"AiCorsair/Dataquest-Data-Science-Analysis-Projects","owner":"AiCorsair","description":"A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.","archived":false,"fork":false,"pushed_at":"2025-01-11T07:37:19.000Z","size":77548,"stargazers_count":11,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T08:27:53.819Z","etag":null,"topics":["classification-models","cluster-analysis","data-analysis","data-analytics","data-cleaning","data-preparation","data-preprocessing","data-science","data-visualization","deep-learning","excel","feature-engineering","machine-learning","pandas-dataframe","power-bi","python-3","regression-models","scikit-learn","sql","web-scraping"],"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/AiCorsair.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":"2024-04-27T09:43:53.000Z","updated_at":"2025-01-11T07:37:22.000Z","dependencies_parsed_at":"2024-04-27T09:44:55.653Z","dependency_job_id":"fc6e7a59-5ad4-4a2e-bdbe-e29fc786445b","html_url":"https://github.com/AiCorsair/Dataquest-Data-Science-Analysis-Projects","commit_stats":null,"previous_names":["medalytics/dataquest-projects","medalytics/dataquest-data-science-analysis-projects","aicorsair/dataquest-data-science-analysis-projects"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AiCorsair%2FDataquest-Data-Science-Analysis-Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AiCorsair%2FDataquest-Data-Science-Analysis-Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AiCorsair%2FDataquest-Data-Science-Analysis-Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AiCorsair%2FDataquest-Data-Science-Analysis-Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AiCorsair","download_url":"https://codeload.github.com/AiCorsair/Dataquest-Data-Science-Analysis-Projects/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239379329,"owners_count":19628682,"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-models","cluster-analysis","data-analysis","data-analytics","data-cleaning","data-preparation","data-preprocessing","data-science","data-visualization","deep-learning","excel","feature-engineering","machine-learning","pandas-dataframe","power-bi","python-3","regression-models","scikit-learn","sql","web-scraping"],"created_at":"2025-02-17T23:05:20.846Z","updated_at":"2025-10-27T15:43:05.703Z","avatar_url":"https://github.com/AiCorsair.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Dataquest-Projects\n\nThis repository stores guided projects completed while learning data science concepts with [Dataquest](https://www.dataquest.io/). I worked on a variety of projects using tools such as **Python**, **SQL**, **Excel**, and **Power BI**, practicing data cleaning, analysis, visualization, web scraping, and working with APIs, as well as data modeling and forecasting.\n\nThe primary data science libraries I used include **Pandas**, **NumPy**, **Requests**, **BeautifulSoup**, **Matplotlib**, **Seaborn**, **Scikit-Learn**, **TensorFlow**, and **Keras**. In machine learning, I applied various regression, classification, and clustering algorithms (e.g. **OLS**, **Ridge**, **Lasso**, **KNN**, **Decision Tree**, **K-Means**). In deep learning, I focused on building neural networks using both the **Sequential** and **Functional** APIs.\n\nIf you'd like to work on any of the available projects, be sure to find and download the project files from the `Datasets` folder, which contains **CSV**, **Data Base**, and **SQL Text** files.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faicorsair%2Fdataquest-data-science-analysis-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faicorsair%2Fdataquest-data-science-analysis-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faicorsair%2Fdataquest-data-science-analysis-projects/lists"}