{"id":19553876,"url":"https://github.com/blankscreen-exe/tsf_datascience","last_synced_at":"2026-05-17T07:31:52.275Z","repository":{"id":109083106,"uuid":"426144898","full_name":"Blankscreen-exe/TSF_DataScience","owner":"Blankscreen-exe","description":"Repo for all TSF internship tasks","archived":false,"fork":false,"pushed_at":"2022-04-19T16:25:45.000Z","size":4099,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-26T07:32:38.574Z","etag":null,"topics":["data-analysis","data-mining","data-mining-algorithms","python"],"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/Blankscreen-exe.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":"2021-11-09T08:17:00.000Z","updated_at":"2021-12-14T00:26:38.000Z","dependencies_parsed_at":"2023-05-31T22:48:27.684Z","dependency_job_id":null,"html_url":"https://github.com/Blankscreen-exe/TSF_DataScience","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Blankscreen-exe/TSF_DataScience","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blankscreen-exe%2FTSF_DataScience","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blankscreen-exe%2FTSF_DataScience/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blankscreen-exe%2FTSF_DataScience/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blankscreen-exe%2FTSF_DataScience/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Blankscreen-exe","download_url":"https://codeload.github.com/Blankscreen-exe/TSF_DataScience/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Blankscreen-exe%2FTSF_DataScience/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33130650,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T06:27:06.342Z","status":"ssl_error","status_checked_at":"2026-05-17T06:26:59.432Z","response_time":107,"last_error":"SSL_read: 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-mining","data-mining-algorithms","python"],"created_at":"2024-11-11T04:25:03.777Z","updated_at":"2026-05-17T07:31:52.255Z","avatar_url":"https://github.com/Blankscreen-exe.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# The Sparks Foundation Internship - Data Science \u0026 Business Analytics\n\nThis repo contains all of my [The Sparks Foundation Internship](https://internship.thesparksfoundation.info/) tasks for _Data Science_ and _Business Analytics_\n\n### Task List:\n- [x] **Prediction: using Supervised ML**\n    - Predict student's percentage/grades based on the number of study hours\n    - Use Linear Regression to solve the problem\n- [x] **Prediction: using Unsupervised ML**\n    - Determine the optimum number of clusters\n    - Visualize the clusters\n    - Use Iris dataset for this job\n- [x] **Exploraroty Data Analysis: Retail**\n    - Perform EDA on a Superstore dataset\n    - As a business manager, try to find the weak areas to optimize profits\n    - Derive the business problems according to the data\n- [x] **Exploraroty Data Analysis: Terrorrism**\n    - Perform EDA on a Global Terrorism dataset\n    - As a security/defense analyst, try to find the hot zones for terrorism\n    - Determine the security issues and insights from the data\n- [x] **Exploraroty Data Analysis: Sports**\n    - Perform EDA on a Indian Premier League dataset\n    - As a sports analyst, find out the most successful teams, players and factors contributiong win/loss for a team\n- [x] **Prediction: Using Decision Tree**\n    - Create a Decision Tree Classifier\n    - Visualize the classifier\n    - Use Iris dataset for this job\n- [ ] **Prediction: Using Numerical \u0026 Textual Analysis**\n    - Create a hybrid model for stock price/performance prediction\n    - Use numerical analysis of historic stock prices and sentimental analysis of news headlines\n- [ ] **Prediction: Using Timeline Analysis**\n    - Create a story board showing COVID-19 cases in your country and region\n    - Use animation and annotations to create dashboards\n    - Identify patterns and possible reasons helping COVID-19 spread with basic as well as advanced charts\n\n---\n**Author:** *Muhammad Hammad Hassan*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblankscreen-exe%2Ftsf_datascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblankscreen-exe%2Ftsf_datascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblankscreen-exe%2Ftsf_datascience/lists"}