{"id":27126043,"url":"https://github.com/khyatimahendru/articlespublished","last_synced_at":"2026-02-07T02:02:30.614Z","repository":{"id":263371535,"uuid":"192347000","full_name":"khyatimahendru/articlesPublished","owner":"khyatimahendru","description":"A collection of all the articles written by me","archived":false,"fork":false,"pushed_at":"2019-08-27T14:49:00.000Z","size":29,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-07-24T10:33:11.310Z","etag":null,"topics":["articles","data-science","machine-learning","technical-writing"],"latest_commit_sha":null,"homepage":null,"language":null,"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/khyatimahendru.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":"2019-06-17T12:55:42.000Z","updated_at":"2019-08-27T14:49:01.000Z","dependencies_parsed_at":"2024-11-18T09:35:07.320Z","dependency_job_id":null,"html_url":"https://github.com/khyatimahendru/articlesPublished","commit_stats":null,"previous_names":["khyatimahendru/articlespublished"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/khyatimahendru/articlesPublished","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/khyatimahendru%2FarticlesPublished","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/khyatimahendru%2FarticlesPublished/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/khyatimahendru%2FarticlesPublished/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/khyatimahendru%2FarticlesPublished/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/khyatimahendru","download_url":"https://codeload.github.com/khyatimahendru/articlesPublished/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/khyatimahendru%2FarticlesPublished/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29184977,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-07T00:44:15.062Z","status":"online","status_checked_at":"2026-02-07T02:00:07.217Z","response_time":63,"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":["articles","data-science","machine-learning","technical-writing"],"created_at":"2025-04-07T15:58:36.908Z","updated_at":"2026-02-07T02:02:30.599Z","avatar_url":"https://github.com/khyatimahendru.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Published Articles\nA collection of all the articles authored by me.\n\n| Date          | Title         | Link  |\n| ------------- |:--------------|:-----|\n| 15.08.2019    | A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code | https://www.analyticsvidhya.com/blog/2019/08/detailed-guide-7-loss-functions-machine-learning-python-code/ \u003c/br\u003e\u003c/br\u003e https://medium.com/analytics-vidhya/a-detailed-guide-to-7-loss-functions-for-machine-learning-algorithms-26e11b6e700b (Featured on Medium Paywall) |\n| 05.08.2019    | Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science | https://www.analyticsvidhya.com/blog/2019/08/5-applications-singular-value-decomposition-svd-data-science/ \u003c/br\u003e\u003c/br\u003e https://medium.com/analytics-vidhya/master-dimensionality-reduction-with-these-5-must-know-applications-of-singular-value-777299940b89 (Featured on Medium Paywall) |\n| 23.07.2019    | 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) | https://www.analyticsvidhya.com/blog/2019/07/10-applications-linear-algebra-data-science/ \u003c/br\u003e\u003c/br\u003e https://medium.com/analytics-vidhya/10-powerful-applications-of-linear-algebra-in-data-science-c9c0b6018074 |\n| 10.07.2019    | Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview | https://www.analyticsvidhya.com/blog/2019/07/6-essential-tips-should-know-day-before-data-science-interview/ \u003c/br\u003e\u003c/br\u003e https://medium.com/analytics-vidhya/heading-for-a-data-science-interview-95eeab94ba1d |\n| 04.07.2019    | 11 Superb Data Science Videos Every Data Scientist Must Watch | https://www.analyticsvidhya.com/blog/2019/07/11-data-science-videos-every-data-scientist-must-watch/ \u003c/br\u003e\u003c/br\u003e https://medium.com/analytics-vidhya/11-superb-data-science-videos-every-data-scientist-must-watch-2ef092d39cb2 |\n| 30.06.2019    | My Experience at the Google India Tech Intern Connect 2019 | https://medium.com/@khyati.ma25/my-experience-at-the-google-india-tech-intern-connect-2019-49b88c0db190 |\n| 25.06.2019    | Balance your data using SMOTE - With a Case Study in Python | https://medium.com/analytics-vidhya/balance-your-data-using-smote-98e4d79fcddb (Featured on Medium Paywall) |\n| 21.06.2019    | Measuring the Goodness of Fit: R\u003csup\u003e2\u003c/sup\u003e versus Adjusted R\u003csup\u003e2\u003c/sup\u003e | https://medium.com/analytics-vidhya/measuring-the-goodness-of-fit-r%C2%B2-versus-adjusted-r%C2%B2-1e8ed0b5784a |\n| 19.06.2019    | Decision Trees: Which feature to split on? | https://medium.com/analytics-vidhya/decision-trees-which-feature-to-split-on-91083fc32279 (Featured on Medium Paywall) |\n| 17.06.2019    | How to Determine the Optimal K for K-Means? | https://medium.com/analytics-vidhya/how-to-determine-the-optimal-k-for-k-means-708505d204eb|\n| 13.06.2019    | An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals|  https://www.analyticsvidhya.com/blog/2019/06/introduction-powerful-bayes-theorem-data-science/ |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhyatimahendru%2Farticlespublished","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkhyatimahendru%2Farticlespublished","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhyatimahendru%2Farticlespublished/lists"}