{"id":18024132,"url":"https://github.com/thomasnield/bayes_user_input_prediction","last_synced_at":"2025-03-27T00:30:50.902Z","repository":{"id":148076005,"uuid":"126045059","full_name":"thomasnield/bayes_user_input_prediction","owner":"thomasnield","description":"Demonstration of using Naive Bayes to predict user inputs with Kotlin 1.2 std-lib","archived":false,"fork":false,"pushed_at":"2019-11-19T14:53:59.000Z","size":3758,"stargazers_count":26,"open_issues_count":0,"forks_count":3,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-03-22T18:11:24.037Z","etag":null,"topics":["bayes","bayes-classifier","data-science","kotlin"],"latest_commit_sha":null,"homepage":"","language":"Kotlin","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/thomasnield.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2018-03-20T16:04:35.000Z","updated_at":"2024-12-11T14:25:05.000Z","dependencies_parsed_at":"2023-05-19T02:00:30.953Z","dependency_job_id":null,"html_url":"https://github.com/thomasnield/bayes_user_input_prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fbayes_user_input_prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fbayes_user_input_prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fbayes_user_input_prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomasnield%2Fbayes_user_input_prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thomasnield","download_url":"https://codeload.github.com/thomasnield/bayes_user_input_prediction/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245760581,"owners_count":20667886,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["bayes","bayes-classifier","data-science","kotlin"],"created_at":"2024-10-30T07:11:59.849Z","updated_at":"2025-03-27T00:30:50.897Z","avatar_url":"https://github.com/thomasnield.png","language":"Kotlin","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Naive Bayes/Logistic Regression User Input Prediction\n\nThis is a simple [Kotlin](http://kotlinlang.org/) application that leverages Naive Bayes or logistic regression to categorize bank transactions.\n\n![](demo_animation.gif)\n\n\n## YouTube Walkthrough\n\n[![](https://img.youtube.com/vi/JLSdW60t898/hqdefault.jpg)](https://www.youtube.com/watch?v=JLSdW60t898)\n\n## Featured at KotlinConf 2018 in Amsterdam\n\n[![](https://img.youtube.com/vi/-zTqtEcnM7A/hqdefault.jpg)](https://youtu.be/-zTqtEcnM7A)\n\n\n\n\n## Details\n\n\nNOTE: [Kotlin-Statistics](https://github.com/thomasnield/kotlin-statistics#naive-bayes-classifier) now has this feature in an easy-to-use API. \n\nInput and categorize a few transactions, and the simple AI will start to predict the categories once it picks up probabilities for given keywords.\n\nChapter 13 of [O'Reilly Data Science From Scratch](http://a.co/i6i5wEX ) by Joel Grus was a useful reference. \n\nHere is a recorded demo. The first three transactions did not have enough data to predict. But after the fourth transaction, the algorithm starts to make accurate predictions.\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthomasnield%2Fbayes_user_input_prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthomasnield%2Fbayes_user_input_prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthomasnield%2Fbayes_user_input_prediction/lists"}