{"id":25564895,"url":"https://github.com/dbriane208/python-for-data-science","last_synced_at":"2026-04-13T13:32:32.092Z","repository":{"id":175794257,"uuid":"646880591","full_name":"Dbriane208/Python-for-Data-Science","owner":"Dbriane208","description":"Machine Learning and Data Science repository. Love crafting Machine Learning models.","archived":false,"fork":false,"pushed_at":"2024-07-01T17:16:20.000Z","size":22970,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-24T23:41:56.364Z","etag":null,"topics":["data-analysis","data-science","data-visualization","machine-learning","numpy","pandas","python","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/Dbriane208.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,"zenodo":null}},"created_at":"2023-05-29T14:49:07.000Z","updated_at":"2024-07-01T17:16:23.000Z","dependencies_parsed_at":"2023-10-15T17:11:59.028Z","dependency_job_id":"48408089-222d-4d7a-8437-3131fb695f51","html_url":"https://github.com/Dbriane208/Python-for-Data-Science","commit_stats":null,"previous_names":["dbriane208/python-for-data-science"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Dbriane208/Python-for-Data-Science","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dbriane208%2FPython-for-Data-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dbriane208%2FPython-for-Data-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dbriane208%2FPython-for-Data-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dbriane208%2FPython-for-Data-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Dbriane208","download_url":"https://codeload.github.com/Dbriane208/Python-for-Data-Science/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dbriane208%2FPython-for-Data-Science/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31754943,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T13:27:56.013Z","status":"ssl_error","status_checked_at":"2026-04-13T13:21:23.512Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["data-analysis","data-science","data-visualization","machine-learning","numpy","pandas","python","seaborn"],"created_at":"2025-02-20T21:59:51.700Z","updated_at":"2026-04-13T13:32:32.052Z","avatar_url":"https://github.com/Dbriane208.png","language":"Jupyter Notebook","readme":"# Python-for-Data-Science\nMachine Learning and Data Science repository. This repository contains machine learning projects from begginer to advance. By the end one will understand how to build an end-to-end machine learning project using python and jupyter notebook. \n\n# Steps followed in creating the project\n1. Form a hypothesis\n2. Find and explore the data\n3. Do data pre-processing\n4. Do data visualization\n5. Train the model\n\n# Installation\nTo follow through the projects you need to have the following tools in your device :\n1. Python 3+ locally\n2. Python packages\n   - Pandas\n   - Numpy\n   - Seaborn\n   - Matplotlib\n  \n# The Data Science and Machine Learning workflow\nThe Data science workflow consists of :\n   1. Scope of the project : This clearly tells the aim of the project and directions the project will take.\n   2. Gathering Data : A project is as strong as the underlying data. It is the foundation of analysis. Data sources included files,Databases, Websites,APIs.\n   3. Cleaning Data : It is important in producing accurate and relieable results. Data cleaning tasks include :\n          - Correcting data types\n          - Imputing missing data\n          - Dealing with inconsistent data\n          - Reformating the data\n   4. Exploring Data : Explatory data analysis helps in understanding and visualizing the data your're working with. EDA tasks may include :\n          - Slicing and dicing the data\n          - Summarizing the data\n          - Visualizing the data\n   5. Modeling Data : Involves structuring and preparing data for specific modelling techniques and applying models to make predictions. Data modelling tasks include:\n          - Restructuring the data\n          - Feature engineering (adding new fields)\n          - Applying Machine Learning Algorithms\n   6. Sharing Insights : Involves summarizing your key findings and sharing insights with end users and stakeholders.\n          - Reiterate the problem\n          - Interprate the results of your analysis\n          - Share recommendations and insights\n          - Focus on potential impact and not technical deatails\n          - Deploying the model or put it into production\n      \n     \n     \n  \n     \n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbriane208%2Fpython-for-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbriane208%2Fpython-for-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbriane208%2Fpython-for-data-science/lists"}