{"id":19704861,"url":"https://github.com/shrikantnaidu/datacamp-projects","last_synced_at":"2026-06-17T09:31:42.587Z","repository":{"id":118816905,"uuid":"223232927","full_name":"shrikantnaidu/DataCamp-Projects","owner":"shrikantnaidu","description":"DataCamp Projects.","archived":false,"fork":false,"pushed_at":"2020-05-19T08:36:02.000Z","size":7143,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-27T17:23:03.695Z","etag":null,"topics":["data-science","datacamp","machine-learning","project"],"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/shrikantnaidu.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":"2019-11-21T17:57:08.000Z","updated_at":"2020-05-19T08:36:05.000Z","dependencies_parsed_at":"2023-12-25T21:02:53.180Z","dependency_job_id":null,"html_url":"https://github.com/shrikantnaidu/DataCamp-Projects","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/shrikantnaidu/DataCamp-Projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shrikantnaidu%2FDataCamp-Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shrikantnaidu%2FDataCamp-Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shrikantnaidu%2FDataCamp-Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shrikantnaidu%2FDataCamp-Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shrikantnaidu","download_url":"https://codeload.github.com/shrikantnaidu/DataCamp-Projects/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shrikantnaidu%2FDataCamp-Projects/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34443232,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-17T02:00:05.408Z","response_time":127,"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-science","datacamp","machine-learning","project"],"created_at":"2024-11-11T21:24:49.094Z","updated_at":"2026-06-17T09:31:42.554Z","avatar_url":"https://github.com/shrikantnaidu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DataCamp Projects\n\n\u003cp align=\"center\"\u003e \n\u003cimg src=\"https://cdn.datacamp.com/main-app/assets/brand/logos/DataCamp_Horizontal_RGB-d196011f63ebda76dc5c9772425cf9541b8639af842d5e5476ef10f2460ed1e4.png\" width=\"500\"\u003e\n\u003c/p\u003e\n\nNotebooks to [Datacamp](https://www.datacamp.com/profile/shrikantnaidu777) projects.\n\n## Python\n| Project | Description |\n| --- | --- |\n| Dr. Semmelweis and the discovery of handwashing| Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing. |\n|Exploring 67 years of LEGO| In this project we will explore a database of every LEGO set ever built. |\n|A Visual History of Nobel Prize Winners| Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed? |\n| Analyze Your Runkeeper Fitness Data | Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app. |\n| Do Left-handed People Really Die Young? | Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties. |\n| The GitHub History of the Scala Language? | Find the true Scala experts by exploring its development history in Git and GitHub. |\n| Classify Song Genres from Audio Data | Rock or rap? Apply machine learning methods in Python to classify songs into genres. |\n| Predicting Credit Card Approvals | Build a machine learning model to predict if a credit card application will get approved. |\n| Who Is Drunk and When in Ames, Iowa? | Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA. |\n| Disney Movies and Box Office Success | Explore Disney movie data, then build a linear regression model to predict box office success. |\n| Find Movie Similarity from Plot Summaries | Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity. |\n| Bad passwords and the NIST guidelines | Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines. |\n| A New Era of Data Analysis in Baseball | Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton. |\n| Generating Keywords for Google AdWords | Automatically generate keywords for a search engine marketing campaign using Python. |\n| Which Debts Are Worth the Bank's Effort? | Play bank data scientist and use regression discontinuity to see which debts are worth collecting. |\n| The Android App Market on Google Play | Load, clean, and visualize scraped Google Play Store data to understand the Android app market. |\n| Give Life: Predict Blood Donations | Build a binary classifier to predict if a blood donor is likely to donate again. |\n| TV, Halftime Shows, and the Big Game | Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows. |\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshrikantnaidu%2Fdatacamp-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshrikantnaidu%2Fdatacamp-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshrikantnaidu%2Fdatacamp-projects/lists"}