https:\/\/medium.com\/@SayedAhmedCanada<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"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: 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 … <\/p>\n
Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-20577","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":14889,"url":"http:\/\/bangla.sitestree.com\/?p=14889","url_meta":{"origin":20577,"position":0},"title":"Prediction: Bayesian: Regression: Concepts\/Example Projects","author":"Sayed","date":"July 7, 2019","format":false,"excerpt":"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 Regression-Example-Predicting-House-Prices https:\/\/github.com\/andersy005\/deep-learning\/blob\/master\/keras\/04-A-Regression-Example-Predicting-House-Prices.ipynb Stock Price\u2026","rel":"","context":"In "AI ML DS RL DL NN NLP Data Mining Optimization"","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22629,"url":"http:\/\/bangla.sitestree.com\/?p=22629","url_meta":{"origin":20577,"position":1},"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 "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","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":20577,"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 "AI ML DS RL DL NN NLP Data Mining Optimization"","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":17349,"url":"http:\/\/bangla.sitestree.com\/?p=17349","url_meta":{"origin":20577,"position":3},"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 "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","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":78217,"url":"http:\/\/bangla.sitestree.com\/?p=78217","url_meta":{"origin":20577,"position":4},"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 "Analytics and Machine Learning Project Development"","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":17353,"url":"http:\/\/bangla.sitestree.com\/?p=17353","url_meta":{"origin":20577,"position":5},"title":"Misc Motion Learning and Prediction, Target Tracking, and related","author":"Sayed","date":"August 20, 2020","format":false,"excerpt":"An Introduction to Graph Neural Networks: Models and Applications https:\/\/www.youtube.com\/watch?v=zCEYiCxrL_0 Encoder-Decoder Recurrent Neural Network Models for Neural Machine Translation https:\/\/machinelearningmastery.com\/encoder-decoder-recurrent-neural-network-models-neural-machine-translation\/ Illustrated Guide to LSTM\u2019s and GRU\u2019s: A step by step explanation https:\/\/towardsdatascience.com\/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21 RNN\/LSTM\/GRU https:\/\/www.cs.toronto.edu\/~tingwuwang\/rnn_tutorial.pdf Maximum Likelihood Joint Tracking and Association in a Strong Clutter https:\/\/arxiv.org\/pdf\/1010.4236.pdf Multitarget tracking using maximum likelihood\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","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":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/20577","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=20577"}],"version-history":[{"count":0,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/20577\/revisions"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20577"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20577"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}