{"id":14889,"date":"2019-07-07T22:34:03","date_gmt":"2019-07-08T02:34:03","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/prediction-bayesian-regression-concepts-example-projects\/"},"modified":"2020-02-08T09:30:37","modified_gmt":"2020-02-08T14:30:37","slug":"prediction-bayesian-regression-concepts-example-projects","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=14889","title":{"rendered":"Prediction: Bayesian: Regression: Concepts\/Example Projects"},"content":{"rendered":"<h1>Insurance HealthCare Costs: <a href=\"https:\/\/github.com\/techshot25\/HealthCare\">https:\/\/github.com\/techshot25\/HealthCare<\/a> <\/h1>\n<h1>Linear and Bayesian modeling in R: Predicting movie popularity<br \/>\n<\/h1>\n<p> <a href=\"https:\/\/towardsdatascience.com\/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184\">https:\/\/towardsdatascience.com\/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184<\/a><\/p>\n<p><a href=\"https:\/\/github.com\/lschlessinger1\/Bayesian-Stock-Price-Prediction\">Bayesian-Stock-Price-Prediction<\/a><br \/>\n<a href=\"https:\/\/github.com\/lschlessinger1\/Bayesian-Stock-Price-Prediction\">https:\/\/github.com\/lschlessinger1\/Bayesian-Stock-Price-Prediction<\/a><\/p>\n<p><strong>Bayesian Prediction: Well (Oil) Production<\/strong><\/p>\n<p><a href=\"https:\/\/github.com\/jpgrana\/bayesian-approach-predicting-well-production\">https:\/\/github.com\/jpgrana\/bayesian-approach-predicting-well-production<\/a><\/p>\n<p><strong>Binary Classification on Stock Market (S&amp;P 500) using Naive Bayes and Logistic Regression <\/strong><\/p>\n<p><a href=\"https:\/\/github.com\/NeilPrabhu\/Stock-Prediction\">https:\/\/github.com\/NeilPrabhu\/Stock-Prediction<\/a><\/p>\n<p><strong>Naive Bayes Weather Prediction<\/strong><\/p>\n<p><a href=\"https:\/\/github.com\/husnainfareed\/simple-naive-bayes-weather-prediction\/blob\/master\/bayes.py\">https:\/\/github.com\/husnainfareed\/simple-naive-bayes-weather-prediction\/blob\/master\/bayes.py<\/a><\/p>\n<p><strong>Regression Predict Fuel Efficiency:<\/strong><br \/>\n<a href=\"https:\/\/www.tensorflow.org\/tutorials\/keras\/basic_regression\">https:\/\/www.tensorflow.org\/tutorials\/keras\/basic_regression<\/a><\/p>\n<p><strong>Regression-Example-Predicting-House-Prices<\/strong><\/p>\n<p><a href=\"https:\/\/github.com\/andersy005\/deep-learning\/blob\/master\/keras\/04-A-Regression-Example-Predicting-House-Prices.ipynb\">https:\/\/github.com\/andersy005\/deep-learning\/blob\/master\/keras\/04-A-Regression-Example-Predicting-House-Prices.ipynb<\/a><\/p>\n<p><strong>Stock Price Prediction using Regression<\/strong><\/p>\n<p><a href=\"https:\/\/github.com\/chaitjo\/regression-stock-prediction\">https:\/\/github.com\/chaitjo\/regression-stock-prediction<\/a><\/p>\n<p><strong>Concept:<\/strong><\/p>\n<h1>Predicting the Future with Bayes\u2019 Theorem<\/h1>\n<p> <a href=\"https:\/\/fs.blog\/2018\/09\/bayes-theorem\/\">https:\/\/fs.blog\/2018\/09\/bayes-theorem\/<\/a><\/p>\n<p>Chapter 5 &#8211; Bayesian Prediction<\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780123748546000089\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780123748546000089<\/a><\/p>\n<p><strong>Books:<\/strong><\/p>\n<h1><a href=\"http:\/\/camdavidsonpilon.github.io\/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers\/\">Bayesian Methods for Hackers<\/a><\/h1>\n<p><a href=\"https:\/\/github.com\/CamDavidsonPilon\/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers\">https:\/\/github.com\/CamDavidsonPilon\/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers<\/a><\/p>\n<p><strong>Multiple-linear-regression<\/strong><br \/>\n<a href=\"https:\/\/github.com\/topics\/multiple-linear-regression\">https:\/\/github.com\/topics\/multiple-linear-regression<\/a><\/p>\n<h1>Making Predictions with Regression Analysis<\/h1>\n<p><a href=\"https:\/\/statisticsbyjim.com\/regression\/predictions-regression\/\">https:\/\/statisticsbyjim.com\/regression\/predictions-regression\/<\/a><\/p>\n<p><strong>Regression and Prediction<\/strong><br \/>\n<a href=\"http:\/\/jukebox.esc13.net\/untdeveloper\/RM\/Stats_Module_5\/Stats_Module_56.html\">http:\/\/jukebox.esc13.net\/untdeveloper\/RM\/Stats_Module_5\/Stats_Module_56.html<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Insurance HealthCare Costs: https:\/\/github.com\/techshot25\/HealthCare Linear and Bayesian modeling in R: Predicting movie popularity https:\/\/towardsdatascience.com\/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184 Bayesian-Stock-Price-Prediction https:\/\/github.com\/lschlessinger1\/Bayesian-Stock-Price-Prediction Bayesian Prediction: Well (Oil) Production https:\/\/github.com\/jpgrana\/bayesian-approach-predicting-well-production Binary Classification on Stock Market (S&amp;P 500) using Naive Bayes and Logistic Regression https:\/\/github.com\/NeilPrabhu\/Stock-Prediction Naive Bayes Weather Prediction https:\/\/github.com\/husnainfareed\/simple-naive-bayes-weather-prediction\/blob\/master\/bayes.py Regression Predict Fuel Efficiency: https:\/\/www.tensorflow.org\/tutorials\/keras\/basic_regression Regression-Example-Predicting-House-Prices https:\/\/github.com\/andersy005\/deep-learning\/blob\/master\/keras\/04-A-Regression-Example-Predicting-House-Prices.ipynb Stock Price Prediction using Regression https:\/\/github.com\/chaitjo\/regression-stock-prediction Concept: &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"http:\/\/bangla.sitestree.com\/?p=14889\">Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1910,182],"tags":[],"class_list":["post-14889","post","type-post","status-publish","format-standard","hentry","category-ai-ml-ds-rl-dl-nn-nlp-data-mining-optimization","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":22629,"url":"http:\/\/bangla.sitestree.com\/?p=22629","url_meta":{"origin":14889,"position":0},"title":"Resources for Data Science Based Project Development","author":"Sayed","date":"March 16, 2021","format":false,"excerpt":"Projects mentioned on: http:\/\/sitestree.com\/prediction-bayesian-regression-concepts-example-projects\/ Insurance HealthCare Costs: https:\/\/github.com\/techshot25\/HealthCare Linear and Bayesian modeling in R: Predicting movie popularity https:\/\/towardsdatascience.com\/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184 Bayesian-Stock-Price-Prediction https:\/\/github.com\/lschlessinger1\/Bayesian-Stock-Price-Prediction Bayesian Prediction: Well (Oil) Production https:\/\/github.com\/jpgrana\/bayesian-approach-predicting-well-production Binary Classification on Stock Market (S&P 500) using Naive Bayes and Logistic Regression https:\/\/github.com\/NeilPrabhu\/Stock-Prediction Naive Bayes Weather Prediction https:\/\/github.com\/husnainfareed\/simple-naive-bayes-weather-prediction\/blob\/master\/bayes.py Regression Predict Fuel Efficiency: https:\/\/www.tensorflow.org\/tutorials\/keras\/basic_regression\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":20577,"url":"http:\/\/bangla.sitestree.com\/?p=20577","url_meta":{"origin":14889,"position":1},"title":"Machine Learning (and related) Resources as may have consulted in the past","author":"Sayed","date":"February 23, 2021","format":false,"excerpt":"References Projects mentioned on: http:\/\/sitestree.com\/prediction-bayesian-regression-concepts-example-projects\/ Insurance HealthCare Costs: https:\/\/github.com\/techshot25\/HealthCare Linear and Bayesian modeling in R: Predicting movie popularity https:\/\/towardsdatascience.com\/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184 Bayesian-Stock-Price-Prediction https:\/\/github.com\/lschlessinger1\/Bayesian-Stock-Price-Prediction Bayesian Prediction: Well (Oil) Production https:\/\/github.com\/jpgrana\/bayesian-approach-predicting-well-production Binary Classification on Stock Market (S&P 500) using Naive Bayes and Logistic Regression https:\/\/github.com\/NeilPrabhu\/Stock-Prediction Naive Bayes Weather Prediction https:\/\/github.com\/husnainfareed\/simple-naive-bayes-weather-prediction\/blob\/master\/bayes.py Regression Predict Fuel Efficiency:\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16665,"url":"http:\/\/bangla.sitestree.com\/?p=16665","url_meta":{"origin":14889,"position":2},"title":"Bayesian Statistics and Machine Learning","author":"Sayed","date":"January 19, 2020","format":false,"excerpt":"Bayesian Statistics and Machine Learning \"Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics.\" en.wikipedia.org \u203a wiki \u203a\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2020\/01\/image-1.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":78217,"url":"http:\/\/bangla.sitestree.com\/?p=78217","url_meta":{"origin":14889,"position":3},"title":"Model Selection","author":"Sayed","date":"May 21, 2025","format":false,"excerpt":"\u2022 Optimizations\/Machine Learning\/Data Mining\/Deep Learning\/Reinforcement Learning\/Graph Mining\/NLP\/Genetic Algorithms \u2022 Regression \u2022 Linear \u2022 Non-Linear \u2022 Classifications \u2022 Logistics Regression \u2022 Sigmoid : Binary \u2022 Softmax: Multi-Class \u2022 Bayes Classifier \u2022 SVM \u2022 Bayesian: Regression\/Classification \u2022 Clustering \u2022 K-NN \u2022 KNN+ \u2022 Kmeans, Hierarchical, Density \u2022Machine Learning\/Data Mining\/Deep Learning\/Reinforcement Learning\/Graph Mining\/NLP\u2026","rel":"","context":"In &quot;Analytics and Machine Learning Project Development&quot;","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17349,"url":"http:\/\/bangla.sitestree.com\/?p=17349","url_meta":{"origin":14889,"position":4},"title":"Lecture Slides: Introduction to Machine Learning","author":"Sayed","date":"August 17, 2020","format":false,"excerpt":"https:\/\/www.cmpe.boun.edu.tr\/~ethem\/i2ml2e\/ Lecture Slides: Introduction (pdf,ppt) Supervised Learning (pdf, ppt) Bayesian Decision Theory (pdf, ppt) Parametric Methods (pdf, ppt) Multivariate Methods (pdf, ppt) Dimensionality Reduction (pdf, ppt) Clustering (pdf, ppt) Nonparametric Methods (pdf, ppt) Decision Trees (pdf, ppt) Linear Discrimination (pdf, ppt) Multilayer Perceptrons (pdf, ppt) Local Models (pdf, ppt) Kernel\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16619,"url":"http:\/\/bangla.sitestree.com\/?p=16619","url_meta":{"origin":14889,"position":5},"title":"Math\/Stat\/CS\/DS Topics that you need to know (with Cognitive, Psychomotor, Affective domain skills) to become a true and great Data Scientist","author":"Sayed","date":"January 7, 2020","format":false,"excerpt":"\"The core topics are cross-validation, shrinkage methods (ridge regression, the LASSO, etc.), neural networks, gradient boosting, separating hyperplanes, support vector machines, basis expansion and regularization (e.g., smoothing splines, wavelet smoothing, kernel smoothing), generalized additive models, bump hunting, multivariate adaptive regression splines (MARS), self-organizing maps, mixture model-based clustering, ensemble learning, and\u2026","rel":"","context":"In &quot;Math and Statistics for Data Science, and Engineering&quot;","block_context":{"text":"Math and Statistics for Data Science, and Engineering","link":"http:\/\/bangla.sitestree.com\/?cat=1908"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/14889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14889"}],"version-history":[{"count":1,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/14889\/revisions"}],"predecessor-version":[{"id":16823,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/14889\/revisions\/16823"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14889"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}