{"id":23999556,"url":"https://github.com/kyle-wannacott/datacamp-projects","last_synced_at":"2026-05-01T23:35:18.778Z","repository":{"id":133560428,"uuid":"182250602","full_name":"kyle-wannacott/DataCamp-Projects","owner":"kyle-wannacott","description":"DataCamp project solutions.","archived":false,"fork":false,"pushed_at":"2019-09-21T15:10:47.000Z","size":46078,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2026-04-27T15:41:30.525Z","etag":null,"topics":["data-analysis","data-mining","data-science","datacamp-projects","machine-learning","python","r"],"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/kyle-wannacott.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":"2019-04-19T10:51:57.000Z","updated_at":"2022-04-14T05:31:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"15e29632-567c-45b0-a304-0f1f2fa1231d","html_url":"https://github.com/kyle-wannacott/DataCamp-Projects","commit_stats":null,"previous_names":["kyle-wannacott/datacamp-projects","leewannacott/datacamp-projects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kyle-wannacott/DataCamp-Projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyle-wannacott%2FDataCamp-Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyle-wannacott%2FDataCamp-Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyle-wannacott%2FDataCamp-Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyle-wannacott%2FDataCamp-Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kyle-wannacott","download_url":"https://codeload.github.com/kyle-wannacott/DataCamp-Projects/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyle-wannacott%2FDataCamp-Projects/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32517228,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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-mining","data-science","datacamp-projects","machine-learning","python","r"],"created_at":"2025-01-08T00:00:08.515Z","updated_at":"2026-05-01T23:35:18.755Z","avatar_url":"https://github.com/kyle-wannacott.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DataCamp-Projects\nhttps://www.datacamp.com/profile/LeeWannacott\n\nNote: Py = Python , R = R statistical package.\nGithub sometimes has issues viewing Juypter Notebook files/images; if this occurs enter notebook URL address at: https://nbviewer.jupyter.org/\n. Solutions to projects are not provided by DataCamp.\n\n\n```# 1Py\u0026R. Dr. Semmelweis and the Discovery of Handwashing.```\n\nReanalyse the data behind one of the most important discoveries of modern medicine: handwashing.\n\n```# 2R. Phyllotaxis Draw Flowers Using Mathematics.```\n\nExplores drawing imagainary Flowers using the mathematical constant 1.618 (Golden ratio ,or (Φ) Phi in Greek).\n\n```# 3R. Rise and Fall of Programming Languages.```\n\nAnalyzes the relative popularity of programming languages over time based on Stack Overflow data.\n\n```# 4R. Exploring the Kaggle Data Science Survey.```\n\nDiscover what top tools Kaggle participants use for data science and machine learning.\n\n```# 5R. Data Science for Social Good: Crime Study.```\n\nUse data science to catch criminals. Uses ggmap library to map Grand Theft Auto's in San Francisco.\n\n```# 6R. Wrangling and Visualizing Musical Data.```\n\nWrangle and visualize musical data to find common chords and compare the styles of different artists.\n\n```# 7R. A Visual History of Nobel Prize Winners.```\n\nExplore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?\n\n```# 8R. Who Is Drunk and When in Ames, Iowa.```\n\nUses tidyverse library to look at breath alcohol test data from Ames, Iowa, USA.\n\n``` # 9R. Level Difficulty in Candy Crush Saga.```\n\nAnalyzes data from the hit mobile game, Candy Crush Saga.\n\n``` # 10R. Visualizing Inequalities in Life Expectancy.```\n\nComparing life expectancy across countries and genders with ggplot2.\n\n\n```# 11R. Degrees That Pay You Back ```\n\nExplore the salary potential of college majors with a k-means cluster analysis.\n\n```# 12R. Predict Taxi Fares with Random Forests```\n\nUses regression trees and random forests to find places where New York taxi drivers earn the most\n\n```# 13Py. Recreating John Snow's Ghost Map```\n\nCreating John Snow's famous map of the 1854 cholera outbreak in London.\n\n```# 14R. Where would you open a Chipotle?```\n\nCreate and explore interactive maps using Leaflet to determine where to open the next Chipotle.\n\n```# 15Py. Naïve Bees_ Image Loading and Processing```\n\nLoading, transforming, and understanding images of honey bees and bumble bees in Python.\n\n```# 16Py. Give Life_ Predict Blood Donations```\n\nBuilding a binary classifier to predict if a blood donor is likely to donate again..\n\n```# 17Py. Predicting Credit Card Approvals```\n\nBuild a machine learning model to predict if a credit card application will get approved.\n\n```# 18Py. Classify Song Genres from Audio Data```\n\nRock or rap?, Applying machine learning methods in Python to classify songs into genres.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkyle-wannacott%2Fdatacamp-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkyle-wannacott%2Fdatacamp-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkyle-wannacott%2Fdatacamp-projects/lists"}