{"id":11473,"date":"2020-07-18T12:56:15","date_gmt":"2020-07-18T12:56:15","guid":{"rendered":"https:\/\/holypython.com\/?page_id=11473"},"modified":"2021-03-27T23:21:03","modified_gmt":"2021-03-27T23:21:03","slug":"nbc","status":"publish","type":"page","link":"https:\/\/holypython.com\/nbc\/","title":{"rendered":"Naive-Bayes Classifier"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"11473\" class=\"elementor elementor-11473\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-57e4c20 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"57e4c20\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-fd40ce3\" data-id=\"fd40ce3\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aeb5720 elementor-widget elementor-widget-spacer\" data-id=\"aeb5720\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8341bc7 elementor-widget elementor-widget-text-editor\" data-id=\"8341bc7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>#2020-07-18 12:56:15<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-375c7d2 elementor-widget elementor-widget-text-editor\" data-id=\"375c7d2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Who would have thought such an old basic thought to become so huge, literally change\/create statistics field and still be relevant after 200+ years. Naive Bayes is not so versatile but remains a very interesting concept indeed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-19e9418\" data-id=\"19e9418\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-49cfcab elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"49cfcab\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-7743462\" data-id=\"7743462\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1308ec5 elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"1308ec5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">#SUPERVISED<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c188994\" data-id=\"c188994\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2a5969f elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"2a5969f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/holypython.com\/ml\/\">#MACHINE LEARNING<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-cf0259c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cf0259c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-e1b6c23\" data-id=\"e1b6c23\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f64e77b elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"f64e77b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">#CLASSIFICATION<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a30252 elementor-widget elementor-widget-heading\" data-id=\"9a30252\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\"><b>Naive-Bayes Classifier<\/b><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed2bfba elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"ed2bfba\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div 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fill=\"#ffc328\"><\/path>    <path d=\"m238.487 188.008h-43.388c-2.209 0-4-1.791-4-4v-43.388c26.176 0 47.388 21.211 47.388 47.388z\" fill=\"#43809f\"><\/path>    <path d=\"m357.483 218.141c-8.695 10.539-21.85 17.256-36.582 17.256-26.177 0-47.388-21.212-47.388-47.388 0-26.177 21.212-47.388 47.388-47.388v47.388z\" fill=\"#ffc328\"><\/path>    <g fill=\"#43809f\">      <path d=\"m368.29 188.008c0 11.445-4.059 21.943-10.807 30.133l-35.125-28.933c-.922-.76-1.457-1.892-1.457-3.087v-45.501c26.177 0 47.389 21.211 47.389 47.388z\"><\/path>      <path d=\"m363 430.842h-214c-4.143 0-7.5 3.358-7.5 7.5s3.357 7.5 7.5 7.5h214c4.143 0 7.5-3.358 7.5-7.5s-3.357-7.5-7.5-7.5z\"><\/path>    <\/g>  <\/g><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Speed: <b>Fast<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" x=\"0px\" y=\"0px\" viewBox=\"0 0 64 64\" style=\"enable-background:new 0 0 496 496\" xml:space=\"preserve\"><linearGradient id=\"SVGID_1_\" gradientUnits=\"userSpaceOnUse\" x1=\"32\" x2=\"32\" y1=\"63\" y2=\"1\"><stop offset=\"0\" stop-color=\"#9f2fff\"><\/stop><stop offset=\"1\" stop-color=\"#0bb1d3\"><\/stop><\/linearGradient><path d=\"m48 53c2.757 0 5-2.243 5-5s-2.243-5-5-5-5 2.243-5 5 2.243 5 5 5zm0-8c1.654 0 3 1.346 3 3s-1.346 3-3 3-3-1.346-3-3 1.346-3 3-3zm11.798-2.446 1.48-2.489-4.278-4.278v-16.787h-8v14h-4.777l-.713 2.802c-.319.119-.639.253-.956.4l-.554-.329v-5.873h-8v9c-2.839 0-5.543 1.365-7.233 3.652-.222.3-.487.537-.767.741v-21.393h-8v22h-6v-8h-8v8.142c-1.72.447-3 1.999-3 3.858 0 2.206 1.794 4 4 4h19.266c.955 0 1.867.491 2.5 1.348 1.691 2.287 4.395 3.652 7.234 3.652.551 0 1.091-.067 1.623-.163l4.441 4.441 2.489-1.479c.317.147.637.281.956.4l.714 2.801h7.555l.713-2.802c.319-.119.639-.253.956-.4l2.489 1.479 5.342-5.342-1.48-2.489c.147-.317.281-.638.4-.956l2.802-.713v-7.555l-2.802-.713c-.119-.318-.253-.638-.4-.955zm-8.798-21.554h4v14.279l-1.554.923c-.317-.147-.637-.281-.956-.4l-.713-2.802h-.777zm-11 11v2.787l-4 4v-6.787zm-20-8h4v20h-4zm-10 14v6h-4v-6zm18.374 14.158c-1.015-1.372-2.512-2.158-4.108-2.158h-19.266c-1.103 0-2-.897-2-2s.897-2 2-2h19.266c1.596 0 3.093-.786 4.108-2.158 1.335-1.806 3.386-2.842 5.626-2.842 2.331 0 4.507 1.136 5.814 3h-3.717c-1.707 0-3.097 1.39-3.097 3.098v1.805c0 1.707 1.39 3.097 3.098 3.097h3.717c-1.307 1.864-3.484 3-5.814 3-2.241 0-4.292-1.036-5.627-2.842zm10.858-2.158h-3.135c-.605 0-1.097-.492-1.097-1.098v-1.805c0-.605.492-1.097 1.098-1.097h3.135c-.149.653-.233 1.32-.233 2s.084 1.347.232 2zm2.08.063c-.205-.665-.312-1.356-.312-2.063s.107-1.398.312-2.063c.397-.132.688-.495.688-.937v-.585c1.263-2.108 3.535-3.415 6-3.415 3.86 0 7 3.141 7 7s-3.14 7-7 7c-2.465 0-4.737-1.307-6-3.415v-.585c0-.442-.291-.805-.688-.937zm19.688.16-2.354.598-.169.528c-.179.56-.415 1.126-.704 1.686l-.254.492 1.246 2.095-3.143 3.143-2.096-1.246-.493.256c-.558.288-1.124.525-1.683.704l-.528.168-.599 2.353h-4.445l-.599-2.354-.528-.168c-.559-.179-1.125-.416-1.683-.704l-.493-.256-2.096 1.246-2.598-2.598c1.257-.571 2.374-1.418 3.255-2.492 1.693 2.075 4.235 3.326 6.964 3.326 4.962 0 9-4.037 9-9s-4.038-9-9-9c-2.729 0-5.271 1.251-6.964 3.326-.882-1.074-1.998-1.921-3.255-2.492l2.598-2.598 2.096 1.246.493-.256c.558-.288 1.124-.525 1.683-.704l.528-.168.598-2.354h4.445l.599 2.354.528.168c.559.179 1.125.416 1.683.704l.493.256 2.096-1.246 3.143 3.143-1.246 2.095.254.492c.289.56.525 1.126.704 1.686l.169.528 2.355.597zm-8-37.223c2.206 0 4-1.794 4-4s-1.794-4-4-4-4 1.794-4 4 1.794 4 4 4zm0-6c1.103 0 2 .897 2 2s-.897 2-2 2-2-.897-2-2 .897-2 2-2zm-31 9c2.206 0 4-1.794 4-4s-1.794-4-4-4-4 1.794-4 4 1.794 4 4 4zm0-6c1.103 0 2 .897 2 2s-.897 2-2 2-2-.897-2-2 .897-2 2-2zm16 14c1.654 0 3-1.346 3-3s-1.346-3-3-3-3 1.346-3 3 1.346 3 3 3zm0-4c.551 0 1 .448 1 1s-.449 1-1 1-1-.448-1-1 .449-1 1-1zm-30 4c-1.654 0-3 1.346-3 3s1.346 3 3 3 3-1.346 3-3-1.346-3-3-3zm0 4c-.551 0-1-.448-1-1s.449-1 1-1 1 .448 1 1-.449 1-1 1zm0-8c-3.86 0-7 3.141-7 7s3.14 7 7 7 7-3.141 7-7c0-1.656-.581-3.177-1.546-4.378l3.87-4.146c1.316.955 2.929 1.524 4.676 1.524 2.629 0 4.958-1.28 6.417-3.244l3.06 1.722c-.304.784-.477 1.632-.477 2.522 0 3.859 3.14 7 7 7s7-3.141 7-7c0-1.293-.359-2.501-.972-3.541l3.406-2.725c1.441 1.4 3.403 2.266 5.566 2.266 4.411 0 8-3.589 8-8s-3.589-8-8-8-8 3.589-8 8c0 1.529.439 2.954 1.186 4.17l-3.409 2.727c-1.252-1.172-2.93-1.897-4.777-1.897-2.255 0-4.259 1.076-5.54 2.737l-3.056-1.719c.382-.932.596-1.95.596-3.018 0-4.411-3.589-8-8-8s-8 3.589-8 8c0 1.945.699 3.728 1.857 5.116l-3.865 4.141c-1.134-.79-2.509-1.257-3.992-1.257zm45-17c3.309 0 6 2.691 6 6s-2.691 6-6 6-6-2.691-6-6 2.691-6 6-6zm-15 13c2.757 0 5 2.243 5 5s-2.243 5-5 5-5-2.243-5-5 2.243-5 5-5zm-30 16c-2.757 0-5-2.243-5-5s2.243-5 5-5 5 2.243 5 5-2.243 5-5 5zm14-26c3.309 0 6 2.691 6 6s-2.691 6-6 6-6-2.691-6-6 2.691-6 6-6z\" fill=\"url(#SVGID_1_)\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Ease of Use: <b>Easy<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"Layer_1\" x=\"0px\" y=\"0px\" viewBox=\"0 0 512.04 512.04\" style=\"enable-background:new 0 0 512.04 512.04;\" xml:space=\"preserve\"><path style=\"fill:#999999;\" d=\"M456.68,55.32v398.992l-350.528-48.464L57.688,55.32H456.68 M472.68,39.32H39.32L92,420 l380.712,52.64V39.32H472.68z\"><\/path><g>\t<circle style=\"fill:#E21B1B;\" cx=\"39.32\" cy=\"39.32\" r=\"39.32\"><\/circle>\t<circle style=\"fill:#E21B1B;\" cx=\"472.72\" cy=\"39.32\" r=\"39.32\"><\/circle><\/g><circle cx=\"91.968\" cy=\"420\" r=\"39.32\"><\/circle><circle style=\"fill:#E21B1B;\" cx=\"472.72\" cy=\"472.72\" r=\"39.32\"><\/circle><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><g><\/g><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Normalization: <b>No<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" x=\"0px\" y=\"0px\" viewBox=\"0 0 64 64\" style=\"enable-background:new 0 0 64 64\" xml:space=\"preserve\">  <path d=\"m40 55-8 7-8-7h4v-7h8v7z\" fill=\"#91cbd7\"><\/path>  <g fill=\"#68607c\">    <path d=\"m46 33h11v2h-11z\"><\/path>    <path d=\"m51.414 30h-5.414v-2h4.586l4-4h2.414v2h-1.586z\"><\/path>    <path d=\"m57 44h-2.414l-4-4h-4.586v-2h5.414l4 4h1.586z\"><\/path>    <path d=\"m7 33h11v2h-11z\"><\/path>    <path d=\"m18 30h-5.414l-4-4h-1.586v-2h2.414l4 4h4.586z\"><\/path>    <path d=\"m9.414 44h-2.414v-2h1.586l4-4h5.414v2h-4.586z\"><\/path>  <\/g>  <path d=\"m48 45c0 2.21-1.79 4-4 4h-24c-2.21 0-4-1.79-4-4v-22c0-2.21 1.79-4 4-4h24c2.21 0 4 1.79 4 4z\" fill=\"#f69489\"><\/path>  <circle cx=\"5\" cy=\"43\" fill=\"#ffd086\" r=\"3\"><\/circle>  <circle cx=\"5\" cy=\"34\" fill=\"#ffd086\" r=\"3\"><\/circle>  <circle cx=\"5\" cy=\"25\" fill=\"#ffd086\" r=\"3\"><\/circle>  <circle cx=\"59\" cy=\"43\" fill=\"#ffd086\" r=\"3\"><\/circle>  <circle cx=\"59\" cy=\"25\" fill=\"#ffd086\" r=\"3\"><\/circle>  <circle cx=\"59\" cy=\"34\" fill=\"#ffd086\" r=\"3\"><\/circle>  <path d=\"m41.91 35.27-2.22.91c-.17.6-.41 1.18-.71 1.72l.92 2.21c-.52.67-1.12 1.27-1.79 1.79l-2.21-.92c-.54.3-1.12.54-1.72.71l-.91 2.22c-.42.05-.84.09-1.27.09s-.85-.04-1.27-.09l-.91-2.22c-.6-.17-1.18-.41-1.72-.71l-2.21.92c-.67-.52-1.27-1.12-1.79-1.79l.92-2.21c-.3-.54-.54-1.12-.71-1.72l-2.22-.91c-.05-.42-.09-.84-.09-1.27s.04-.85.09-1.27l2.22-.91c.17-.6.41-1.18.71-1.72l-.92-2.21c.52-.67 1.12-1.27 1.79-1.79l2.21.92c.54-.3 1.12-.54 1.72-.71l.91-2.22c.42-.05.84-.09 1.27-.09s.85.04 1.27.09l.91 2.22c.6.17 1.18.41 1.72.71l2.21-.92c.67.52 1.27 1.12 1.79 1.79l-.92 2.21c.3.54.54 1.12.71 1.72l2.22.91c.05.42.09.84.09 1.27s-.04.85-.09 1.27z\" fill=\"#ed6571\"><\/path>  <path d=\"m32 18.414-4.707-4.707 1.414-1.414 3.293 3.293 3.293-3.293 1.414 1.414z\" fill=\"#68607c\"><\/path>  <path d=\"m31 8h2v9h-2z\" fill=\"#68607c\"><\/path>  <path d=\"m26 2h12v7h-12z\" fill=\"#fac7a4\"><\/path>  <path d=\"m31 29h2v2h-2z\" fill=\"#68607c\"><\/path>  <path d=\"m31 37h2v2h-2z\" fill=\"#68607c\"><\/path>  <path d=\"m35 33h2v2h-2z\" fill=\"#68607c\"><\/path>  <path d=\"m27 33h2v2h-2z\" fill=\"#68607c\"><\/path>  <path d=\"m31 33h2v2h-2z\" fill=\"#68607c\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Predictor: <b>Categorical<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" x=\"0px\" y=\"0px\" viewBox=\"0 0 64 64\" style=\"enable-background:new 0 0 64 64\" xml:space=\"preserve\">  <path d=\"m17 44c0 1.13-.26 2.19-.74 3.13-1.14 2.3-3.52 3.87-6.26 3.87-3.87 0-7-3.13-7-7s3.13-7 7-7c1.41 0 2.71.41 3.8 1.12 1.93 1.25 3.2 3.41 3.2 5.88z\" fill=\"#f6db40\"><\/path>  <path d=\"m37.31 49.45c1.06 1.22 1.69 2.81 1.69 4.55 0 3.87-3.13 7-7 7s-7-3.13-7-7c0-.81.14-1.58.39-2.3.48-1.41 1.4-2.6 2.6-3.44 1.13-.8 2.51-1.26 4.01-1.26 2.13 0 4.04.95 5.31 2.45z\" fill=\"#71d2df\"><\/path>  <path d=\"m54 25c3.87 0 7 3.13 7 7s-3.13 7-7 7c-1.88 0-3.58-.73-4.83-1.95-1.34-1.26-2.17-3.06-2.17-5.05 0-.32.02-.63.07-.94.2-1.56.92-2.95 1.98-4.01 1.27-1.27 3.01-2.05 4.95-2.05z\" fill=\"#f6db40\"><\/path>  <path d=\"m38.93 29.94c-.45 3.42-3.38 6.06-6.93 6.06-3.87 0-7-3.13-7-7 0-1.13.26-2.19.74-3.13 1.14-2.3 3.52-3.87 6.26-3.87 3.87 0 7 3.13 7 7 0 .32-.02.63-.07.94z\" fill=\"#db535b\"><\/path>  <path d=\"m32 3c3.87 0 7 3.13 7 7 0 1.94-.78 3.68-2.05 4.95s-3.01 2.05-4.95 2.05c-1.41 0-2.71-.41-3.8-1.12-1.27-.82-2.26-2.04-2.78-3.49-.27-.74-.42-1.55-.42-2.39 0-3.87 3.13-7 7-7z\" fill=\"#8360f4\"><\/path>  <path d=\"m16.58 15.61c.27.74.42 1.55.42 2.39 0 1.13-.26 2.19-.74 3.13-.6 1.2-1.53 2.2-2.68 2.88-1.04.63-2.27.99-3.58.99-3.87 0-7-3.13-7-7s3.13-7 7-7c3.03 0 5.6 1.92 6.58 4.61z\" fill=\"#6599ed\"><\/path>  <path d=\"m13.464 36.8c-1.05-.507-2.222-.8-3.464-.8-4.411 0-8 3.589-8 8s3.589 8 8 8c2.768 0 5.211-1.414 6.648-3.557l7.557 3.783c-.13.571-.205 1.164-.205 1.774 0 4.411 3.589 8 8 8s8-3.589 8-8c0-1.658-.507-3.199-1.375-4.478l10.619-11.103c1.332.988 2.974 1.581 4.756 1.581 4.411 0 8-3.589 8-8s-3.589-8-8-8c-1.846 0-3.542.634-4.898 1.688l-10.79-10.79c1.054-1.356 1.688-3.052 1.688-4.898 0-4.411-3.589-8-8-8s-8 3.589-8 8c0 .608.074 1.199.204 1.769l-7.092 2.584c-1.329-2.581-4.015-4.353-7.112-4.353-4.411 0-8 3.589-8 8s3.589 8 8 8c1.138 0 2.219-.242 3.2-.673l3.681 6.195zm-3.464 13.2c-3.309 0-6-2.691-6-6s2.691-6 6-6 6 2.691 6 6-2.691 6-6 6zm7.539-3.349c.293-.831.461-1.721.461-2.651 0-2.453-1.112-4.649-2.855-6.117l2.876-4.442 8.671 14.591c-.73.65-1.341 1.428-1.794 2.303zm14.461-28.651c1.846 0 3.542-.634 4.898-1.688l10.791 10.791c-.647.832-1.131 1.793-1.41 2.839l-6.282-.864c-.001-.026.003-.052.003-.078 0-4.411-3.589-8-8-8-2.768 0-5.212 1.414-6.648 3.557l-1.193-.596 4.378-6.761c1.049.507 2.221.8 3.463.8zm1 28.069v-9.139c3.25-.408 5.894-2.77 6.722-5.872l6.282.864c0 .026-.004.052-.004.078 0 1.91.674 3.663 1.795 5.04l-10.5 10.979c-1.177-1.043-2.658-1.744-4.295-1.95zm-1-23.069c3.309 0 6 2.691 6 6s-2.691 6-6 6-6-2.691-6-6 2.691-6 6-6zm-7.539 3.349c-.293.831-.461 1.721-.461 2.651 0 4.072 3.06 7.436 7 7.931v9.139c-.948.119-1.843.403-2.658.824l-9.108-15.327 3.831-5.916zm7.539 33.651c-3.309 0-6-2.691-6-6s2.691-6 6-6 6 2.691 6 6-2.691 6-6 6zm22-34c3.309 0 6 2.691 6 6s-2.691 6-6 6-6-2.691-6-6 2.691-6 6-6zm-22-22c3.309 0 6 2.691 6 6s-2.691 6-6 6-6-2.691-6-6 2.691-6 6-6zm-7.111 9.647c.489.949 1.158 1.788 1.967 2.47l-4.496 6.944-4.82-2.41c.292-.831.46-1.721.46-2.651 0-.608-.074-1.199-.204-1.769zm-20.889 4.353c0-3.309 2.691-6 6-6s6 2.691 6 6-2.691 6-6 6-6-2.691-6-6zm10.915 6.299c.67-.524 1.258-1.148 1.733-1.856l4.617 2.308-3.171 4.897z\" fill=\"#1a1a1a\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Primary Problem: <b>Multiclass or Binary<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" x=\"0px\" y=\"0px\" viewBox=\"0 0 496 496\" style=\"enable-background:new 0 0 496 496\" xml:space=\"preserve\"><g id=\"surface1\"><path d=\"M 405.996094 283.992188 C 405.996094 342.726562 358.382812 390.339844 299.648438 390.339844 C 240.914062 390.339844 193.304688 342.726562 193.304688 283.992188 C 193.304688 225.257812 240.914062 177.648438 299.648438 177.648438 C 358.382812 177.648438 405.996094 225.257812 405.996094 283.992188 Z M 405.996094 283.992188 \" style=\" stroke:none;fill-rule:nonzero;fill:rgb(100%,81.568627%,38.039216%);fill-opacity:1;\"><\/path><path d=\"M 207.324219 144.242188 L 106.890625 217.210938 L 145.25 335.277344 L 269.394531 335.277344 L 307.753906 217.210938 Z M 207.324219 144.242188 \" style=\" stroke:none;fill-rule:nonzero;fill:rgb(34.509804%,76.470588%,90.980392%);fill-opacity:1;\"><\/path><path d=\"M 307.753906 217.210938 L 262.488281 184.324219 C 222.082031 199.398438 193.304688 238.332031 193.304688 283.992188 C 193.304688 302.589844 198.082031 320.070312 206.46875 335.277344 L 269.394531 335.277344 Z M 307.753906 217.210938 \" style=\" stroke:none;fill-rule:nonzero;fill:rgb(98.039216%,43.921569%,69.803922%);fill-opacity:1;\"><\/path><path d=\"M 504.394531 434.671875 L 449.878906 434.671875 L 449.878906 77.328125 L 504.394531 77.328125 C 508.597656 77.328125 512 73.921875 512 69.722656 C 512 65.523438 508.597656 62.117188 504.394531 62.117188 L 449.878906 62.117188 L 449.878906 7.605469 C 449.878906 3.40625 446.476562 0 442.277344 0 C 438.078125 0 434.671875 3.40625 434.671875 7.605469 L 434.671875 62.117188 L 77.328125 62.117188 L 77.328125 7.605469 C 77.328125 3.40625 73.921875 0 69.722656 0 C 65.523438 0 62.117188 3.40625 62.117188 7.605469 L 62.117188 62.117188 L 7.605469 62.117188 C 3.402344 62.117188 0 65.523438 0 69.722656 C 0 73.921875 3.402344 77.328125 7.605469 77.328125 L 62.117188 77.328125 L 62.117188 152.582031 C 62.117188 156.78125 65.523438 160.1875 69.722656 160.1875 C 73.921875 160.1875 77.328125 156.78125 77.328125 152.582031 L 77.328125 77.328125 L 434.671875 77.328125 L 434.671875 434.671875 L 77.328125 434.671875 L 77.328125 177.933594 C 77.328125 173.730469 73.921875 170.328125 69.722656 170.328125 C 65.523438 170.328125 62.117188 173.730469 62.117188 177.933594 L 62.117188 434.671875 L 7.605469 434.671875 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299.648438 170.042969 C 287.109375 170.042969 275.042969 172.082031 263.75 175.839844 L 211.792969 138.089844 C 209.125 136.15625 205.519531 136.15625 202.851562 138.089844 L 102.421875 211.058594 C 99.753906 212.996094 98.640625 216.425781 99.660156 219.558594 L 138.019531 337.625 C 139.039062 340.757812 141.957031 342.878906 145.25 342.878906 L 202.128906 342.878906 C 222.117188 375.855469 258.351562 397.941406 299.648438 397.941406 C 304.933594 397.941406 310.246094 397.574219 315.445312 396.851562 C 319.605469 396.277344 322.507812 392.433594 321.929688 388.277344 C 321.351562 384.117188 317.511719 381.214844 313.355469 381.789062 C 308.847656 382.414062 304.234375 382.734375 299.648438 382.734375 C 267.25 382.734375 238.453125 367.050781 220.4375 342.878906 L 269.390625 342.878906 C 272.683594 342.878906 275.605469 340.757812 276.621094 337.625 L 314.984375 219.5625 C 316.003906 216.429688 314.886719 212.996094 312.222656 211.058594 L 279.535156 187.308594 C 286.03125 185.960938 292.757812 185.25 299.648438 185.25 C 354.09375 185.25 398.390625 229.542969 398.390625 283.992188 C 398.390625 323.769531 374.71875 359.480469 338.082031 374.976562 Z M 150.777344 327.675781 L 115.828125 220.117188 L 207.324219 153.644531 L 247.390625 182.753906 C 210.777344 201.730469 185.699219 239.984375 185.699219 283.992188 C 185.699219 299.460938 188.800781 314.214844 194.410156 327.675781 Z M 298.816406 220.117188 L 263.867188 327.671875 L 211.109375 327.671875 C 204.585938 314.496094 200.90625 299.664062 200.90625 283.992188 C 200.90625 243.089844 225.90625 207.917969 261.425781 192.949219 Z M 298.816406 220.117188 \" style=\" stroke:none;fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;\"><\/path><\/g><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Mixed-type: <b>No<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" x=\"0px\" y=\"0px\" viewBox=\"0 0 64 64\" style=\"enable-background:new 0 0 496 496\" xml:space=\"preserve\"><g id=\"Page-1\" fill=\"none\" fill-rule=\"evenodd\"><g id=\"048---usb-missing\" fill-rule=\"nonzero\"><g id=\"color\" transform=\"translate(1 1)\"><path id=\"Shape\" d=\"m19.6 52h-14.6c-2.76142375 0-5-2.2385763-5-5v-30c0-1.1045695.8954305-2 2-2h22c1.1045695 0 2 .8954305 2 2v17.69\" fill=\"#e91e63\"><\/path><path id=\"Shape\" d=\"m24 15h-3c1.1045695 0 2 .8954305 2 2v17.69l-6.4 17.31h3l6.4-17.31v-17.69c0-1.1045695-.8954305-2-2-2z\" fill=\"#ad1457\"><\/path><path id=\"Shape\" d=\"m5 0h16c1.1045695 0 2 .8954305 2 2v13h-20v-13c0-1.1045695.8954305-2 2-2z\" fill=\"#f5f5f5\"><\/path><path id=\"Shape\" d=\"m21 0h-3c1.1045695 0 2 .8954305 2 2v13h3v-13c0-1.1045695-.8954305-2-2-2z\" fill=\"#cfd8dc\"><\/path><g fill=\"#f5f5f5\"><circle id=\"Oval\" cx=\"7\" cy=\"24\" r=\"2\"><\/circle><circle id=\"Oval\" cx=\"13\" cy=\"29\" r=\"2\"><\/circle><circle id=\"Oval\" cx=\"19\" cy=\"24\" r=\"2\"><\/circle><\/g><circle id=\"Oval\" cx=\"30\" cy=\"46\" fill=\"#00bcd4\" r=\"12\"><\/circle><path id=\"Shape\" d=\"m30 34c-.5015694.0027679-1.0025018.0361634-1.5.1 5.9795375.7768185 10.4540375 5.8702143 10.4540375 11.9s-4.4745 11.1231815-10.4540375 11.9c.4974982.0638366.9984306.0972321 1.5.1 6.627417 0 12-5.372583 12-12s-5.372583-12-12-12z\" fill=\"#00838f\"><\/path><\/g><g id=\"Icons\" fill=\"#000\"><path id=\"Shape\" d=\"m11 5h-2c-.55228475 0-1 .44771525-1 1s.44771525 1 1 1h2c.5522847 0 1-.44771525 1-1s-.4477153-1-1-1z\"><\/path><path id=\"Shape\" d=\"m19 5h-2c-.5522847 0-1 .44771525-1 1s.4477153 1 1 1h2c.5522847 0 1-.44771525 1-1s-.4477153-1-1-1z\"><\/path><path id=\"Shape\" d=\"m20.55 34.83c.2793852-.1839835.4482694-.4954809.45-.83v-6.18c1.3775467-.4870363 2.2038721-1.8956662 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1-1z\"><\/path><path id=\"Shape\" d=\"m31 34c-1.0106495.0020681-2.0175547.1228967-3 .36v-16.36c0-1.6568542-1.3431458-3-3-3v-12c0-1.65685425-1.3431458-3-3-3h-16c-1.65685425 0-3 1.34314575-3 3v12c-1.65685425 0-3 1.3431458-3 3v30c0 3.3137085 2.6862915 6 6 6h14.06c3.358442 5.2556899 9.9762461 7.3855589 15.7697042 5.0753093s9.1297476-8.4094991 7.9501143-14.5340297c-1.1796334-6.1245306-6.5427229-10.5482105-12.7798185-10.5412796zm-26-31c0-.55228475.44771525-1 1-1h16c.5522847 0 1 .44771525 1 1v12h-18zm1 49c-2.209139 0-4-1.790861-4-4v-30c0-.5522847.44771525-1 1-1h22c.5522847 0 1 .4477153 1 1v17c-6.627417 2.7614237-9.7614237 10.372583-7 17zm25 6c-6.0751322 0-11-4.9248678-11-11s4.9248678-11 11-11 11 4.9248678 11 11-4.9248678 11-11 11z\"><\/path><path id=\"Shape\" d=\"m31 38c-2.4527051.0000807-4.6584113 1.4929914-5.57 3.77-.2043454.5136248.0463752 1.0956546.56 1.3s1.0956546-.0463752 1.3-.56c.6083292-1.5155687 2.076901-2.5091308 3.71-2.51 2.1978704.0269708 3.9730292 1.8021296 4 4-.0000386 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48.13h-47.389c-26.539 0-48.13-21.591-48.13-48.13 0-4.142-3.357-7.5-7.5-7.5s-7.5 3.358-7.5 7.5c0 34.81 28.32 63.13 63.13 63.13h47.389c34.81 0 63.13-28.32 63.13-63.13 0-4.142-3.357-7.5-7.5-7.5z\" fill=\"#43809f\"><\/path>    <g>      <path d=\"m225.095 438.342h-61.811v-53.569c0-4.552 3.69-8.241 8.241-8.241h45.328c4.552 0 8.241 3.69 8.241 8.241v53.569z\" fill=\"#7be492\"><\/path>      <path d=\"m216.853 376.531h-22.664v61.811h30.905v-53.569c.001-4.552-3.689-8.242-8.241-8.242z\" fill=\"#45d987\"><\/path>      <path d=\"m348.716 438.342h-61.811v-84.475c0-4.552 3.69-8.241 8.241-8.241h45.328c4.552 0 8.241 3.69 8.241 8.241v84.475z\" fill=\"#f78e36\"><\/path>      <path d=\"m340.475 345.626h-22.664v92.716h30.905v-84.475c0-4.551-3.69-8.241-8.241-8.241z\" fill=\"#f86f1b\"><\/path>      <path d=\"m286.905 438.342h-61.811v-125.682c0-4.552 3.69-8.241 8.241-8.241h45.328c4.552 0 8.241 3.69 8.241 8.241v125.682z\" fill=\"#29cef6\"><\/path>      <path d=\"m278.664 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class=\"elementor-icon-list-text\">Popularity: <b>70%<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e42bc55 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e42bc55\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-84923b6\" data-id=\"84923b6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af47759 elementor-widget elementor-widget-heading\" data-id=\"af47759\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-large\">naive bayes tutorials in python<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd8f3da elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"fd8f3da\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-98e6c19 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"98e6c19\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-5b5a3a7\" data-id=\"5b5a3a7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-24f5484 elementor-position-left elementor-vertical-align-middle elementor-widget elementor-widget-image-box\" data-id=\"24f5484\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-simple-implementation\/\" tabindex=\"-1\"><img fetchpriority=\"high\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399594_Web_Design.png\" class=\"attachment-full size-full wp-image-708\" alt=\"\" srcset=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399594_Web_Design.png 512w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399594_Web_Design-150x150.png 150w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399594_Web_Design-300x300.png 300w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399594_Web_Design-100x100.png 100w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-simple-implementation\/\">1- Simple Implementation<\/a><\/h3><p class=\"elementor-image-box-description\">Do you want to learn how to implement Naive Bayes Machine Learning Algorithm? You can do so starting now. This is a very simple but fundamental implementation<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1c24c1 elementor-position-left elementor-vertical-align-middle elementor-widget elementor-widget-image-box\" data-id=\"e1c24c1\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-step-by-step\/\" tabindex=\"-1\"><img decoding=\"async\" width=\"128\" height=\"128\" src=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399715_E-Commerce.png\" class=\"attachment-full size-full wp-image-711\" alt=\"\" srcset=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399715_E-Commerce.png 128w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399715_E-Commerce-100x100.png 100w\" sizes=\"(max-width: 128px) 100vw, 128px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-step-by-step\/\">2- Step by Step<\/a><\/h3><p class=\"elementor-image-box-description\">This step-by-step Machine Learning tutorial attempts to provide a little more explanation about the Naive Bayes simple implementation steps that are introduced previously.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a77dc8c elementor-position-left elementor-vertical-align-middle elementor-widget elementor-widget-image-box\" data-id=\"a77dc8c\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-optimization-parameters\/\" tabindex=\"-1\"><img decoding=\"async\" width=\"128\" height=\"128\" src=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399674_App_Development.png\" class=\"attachment-full size-full wp-image-712\" alt=\"\" srcset=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399674_App_Development.png 128w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399674_App_Development-100x100.png 100w\" sizes=\"(max-width: 128px) 100vw, 128px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-optimization-parameters\/\">3- Optimization<\/a><\/h3><p class=\"elementor-image-box-description\">Learn about important parameters when working with random forest algorithms and how to optimize them.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f6913e elementor-position-left elementor-vertical-align-middle elementor-widget elementor-widget-image-box\" data-id=\"4f6913e\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-pros-cons\/\" tabindex=\"-1\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399614_Social_Media.png\" class=\"attachment-full size-full wp-image-707\" alt=\"\" srcset=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399614_Social_Media.png 512w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399614_Social_Media-150x150.png 150w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399614_Social_Media-300x300.png 300w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399614_Social_Media-100x100.png 100w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-pros-cons\/\">4- Pros &amp; Cons<\/a><\/h3><p class=\"elementor-image-box-description\">It's hard to use an algorithm comfortably without knowing different pros and cons that Machine Learning algorithm introduces. In this tutorial we have attempted to objectively name and explain all the advantages and disadvantages that comes with Naive Bayes Algorithms.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35424cc elementor-position-left elementor-vertical-align-middle elementor-widget elementor-widget-image-box\" data-id=\"35424cc\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-history\/\" tabindex=\"-1\"><img loading=\"lazy\" decoding=\"async\" width=\"128\" height=\"128\" src=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399671_SEO.png\" class=\"attachment-full size-full wp-image-710\" alt=\"\" srcset=\"https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399671_SEO.png 128w, https:\/\/holypython.com\/wp-content\/uploads\/2019\/08\/1470399671_SEO-100x100.png 100w\" sizes=\"(max-width: 128px) 100vw, 128px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/holypython.com\/nbc\/naive-bayes-classifier-history\/\">5- History<\/a><\/h3><p class=\"elementor-image-box-description\">Read about the history of Naive Bayes Algoritm. It's very interesting and even entertaining.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>#2020-07-18 12:56:15 Who would have thought such an old basic thought to become so huge, literally change\/create statistics field and still be relevant after 200+ years. Naive Bayes is not so versatile but remains a very interesting concept indeed. #SUPERVISED #MACHINE LEARNING #CLASSIFICATION Naive-Bayes Classifier Data Size: Large and Small Speed: Fast Ease of Use: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":12821,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-11473","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages\/11473","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/comments?post=11473"}],"version-history":[{"count":0,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages\/11473\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/media\/12821"}],"wp:attachment":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/media?parent=11473"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}