{"id":1470,"date":"2022-08-25T09:53:53","date_gmt":"2022-08-25T09:53:53","guid":{"rendered":"https:\/\/pickl.ai\/blog\/?p=1470"},"modified":"2024-08-14T10:20:31","modified_gmt":"2024-08-14T10:20:31","slug":"my-joinery-with-pickl-ai","status":"publish","type":"post","link":"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/","title":{"rendered":"My Journey with Pickl.AI"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><strong>Summary:<\/strong> <\/span><span style=\"font-weight: 400;\">I detailed my journey with Pickl.AI, focusing on a personal project involving health insurance cost prediction. The project utilised Google Cloud Platform for model training and bubble.io for deployment, achieving high accuracy.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#How_it_started\" >How it started<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#Getting_onto_the_personal_project\" >Getting onto the personal project<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#Cleaned_Datasets_Insights\" >Cleaned Dataset\u2019s Insights<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#What_was_the_focus_of_the_authors_project\" >What was the focus of the author\u2019s project?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#How_did_the_author_optimise_their_model_for_accuracy\" >How did the author optimise their model for accuracy?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#What_platform_did_the_author_use_to_deploy_their_web_application\" >What platform did the author use to deploy their web application?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pickl.ai\/blog\/my-joinery-with-pickl-ai\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><b>Introduction<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Embarking on a new journey is always scary and fun, but you learn many new things and gain a ton of experience. In this blog, I will explain and summarise my journey working with TransOrg Analytics in the vast domain of <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-machine-learning\/\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I joined them in March 2022 and had the amazing opportunity to learn and get my hands dirty on different models and projects, especially on the <\/span><a href=\"https:\/\/cloud.google.com\/docs\/overview\"><span style=\"font-weight: 400;\">Google Cloud Platform<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><b>Read Blogs:\u00a0<\/b><\/p>\n<p><a href=\"https:\/\/pickl.ai\/blog\/data-quality-in-machine-learning\/\"><span style=\"font-weight: 400;\">Data Quality in Machine Learning<\/span><\/a><span style=\"font-weight: 400;\">.<br \/>\n<\/span><a href=\"https:\/\/pickl.ai\/blog\/understanding-ridge-regression-in-machine-learning\/\"><span style=\"font-weight: 400;\">Understanding Ridge Regression in Machine Learning<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"how-it-started\"><span class=\"ez-toc-section\" id=\"How_it_started\"><\/span><b>How it started<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">During the initial period, we reviewed many core machine learning concepts and approaches that were necessary to create a deeper understanding of the domain&#8217;s workings. At the same time, we helped create a data mindset with the ability to view and analyse datasets.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Later, we were introduced to the Google Cloud Platform, often referred to as GCP, and we had a hands-on session with the platform&#8217;s workings and various capabilities. To understand the console, we worked on a simple <\/span><a href=\"https:\/\/pickl.ai\/blog\/introduction-to-natural-language-processing\/\"><span style=\"font-weight: 400;\">Natural Language Processing<\/span><\/a><span style=\"font-weight: 400;\">-based chatbot based on <\/span><a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/machine-learning\/concept-automated-ml?view=azureml-api-2\"><span style=\"font-weight: 400;\">Auto ML<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This helped me understand how the machine views and processes the queries and performs sentimental analysis to give the right response to the user and point them in the right direction. Playing around on GCP showed me how this process can be more streamlined and made more.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Accurate and robust with different possible changes.<\/span><\/p>\n<h3 id=\"getting-onto-the-personal-project\"><span class=\"ez-toc-section\" id=\"Getting_onto_the_personal_project\"><\/span><b>Getting onto the personal project<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-13775\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3.jpg\" alt=\"Getting onto the personal project\" width=\"800\" height=\"410\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-300x154.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-768x394.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-110x56.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-200x103.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-380x195.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-255x131.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-550x282.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image3-150x77.jpg 150w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">After attaining a good understanding of everything required, I realised that it was time to build a personal project. For this project, I wanted to create something relevant to many users and easy to access and use simultaneously. I started looking at healthcare as a possible application domain relevant to most users.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I came across a dataset that contained an individual&#8217;s tax insurance cost based on various factors such as age, sex, BMI, etc. I downloaded this dataset, explored it in <\/span><a href=\"https:\/\/pickl.ai\/blog\/gigantic-python\/\"><span style=\"font-weight: 400;\">Python<\/span><\/a><span style=\"font-weight: 400;\"> using multiple tools, and <\/span><a href=\"https:\/\/pickl.ai\/blog\/why-is-data-visualization-important\/\"><span style=\"font-weight: 400;\">visualised<\/span><\/a><span style=\"font-weight: 400;\"> it to better understand the data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I found some inconsistencies in the data but quickly fixed them and transformed the relevant rows to better suit the linear regression algorithm. The following libraries used for data correction, exploration, visualisation and model fitting:<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13778\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6.jpg\" alt=\"\" width=\"600\" height=\"163\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6.jpg 600w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-300x82.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-110x30.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-200x54.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-380x103.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-255x69.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-550x149.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image6-150x41.jpg 150w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/p>\n<p><b>Explore:<\/b><span style=\"font-weight: 400;\"> L<\/span><a href=\"https:\/\/pickl.ai\/blog\/learn-about-the-probabilistic-model-in-machine-learning\/\"><span style=\"font-weight: 400;\">earn about the Probabilistic Model in Machine Learning<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h3 id=\"cleaned-datasets-insights\"><span class=\"ez-toc-section\" id=\"Cleaned_Datasets_Insights\"><\/span><b>Cleaned Dataset\u2019s Insights<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13779\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4.jpg\" alt=\"\" width=\"800\" height=\"552\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-300x207.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-768x530.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-110x76.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-200x138.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-380x262.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-255x176.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-550x380.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image1-4-150x104.jpg 150w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">After training the model and some minor tweaks, it consistently performed and gave accurate results. The training data yielded an R-squared value of 0.751505643411174, and I was able to achieve a very close R-squared value of 0.7447273869684077 for the test data, which showed no training bias.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-13782\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3.jpg\" alt=\"\" width=\"600\" height=\"376\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3.jpg 600w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-300x188.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-110x69.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-200x125.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-380x238.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-255x160.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-550x345.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image2-3-150x94.jpg 150w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">It was now time to shift everything to Google Cloud Platform so it could remotely accessed and run on the cloud itself.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The treated dataset was used for this purpose Vertex AI used to train a brand new model that performed. Similarly to the local machine model predicting the cost of health insurance a person should be looking to pay based on various parameters.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the help of the built-in tools of GCP. The model was further optimised to each a R-squared score of 0.948 for the cloud model, giving very accurate results to the users when deployed.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-13785\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5.jpg\" alt=\"\" width=\"800\" height=\"565\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-300x212.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-768x542.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-110x78.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-200x141.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-380x268.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-255x180.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-550x388.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/08\/image5-150x106.jpg 150w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Now, to make it accessible to everyone, it needed to be deployed on the Internet. I chose to create a Web Application for this purpose using <\/span><a href=\"https:\/\/bubble.io\/\"><span style=\"font-weight: 400;\">bubble.io,<\/span><\/a><span style=\"font-weight: 400;\"> which takes the user information as input, sends it to the linear regression model, which predicts the cost, and sends it back to the web application to be displayed to the user using an API.<\/span><\/p>\n<p><b>Further Check:\u00a0<\/b><\/p>\n<p><a href=\"https:\/\/pickl.ai\/blog\/ai-and-machine-learning-courses\/\"><span style=\"font-weight: 400;\">Discover Best AI and Machine Learning Courses For Your Career<\/span><\/a><span style=\"font-weight: 400;\">.<br \/>\n<\/span><a href=\"https:\/\/pickl.ai\/blog\/understanding-radial-basis-function-in-machine-learning\/\"><span style=\"font-weight: 400;\">Understanding Radial Basis Function In Machine Learning<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b>Frequently Asked Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"what-was-the-focus-of-the-authors-project\"><span class=\"ez-toc-section\" id=\"What_was_the_focus_of_the_authors_project\"><\/span><b>What was the focus of the author\u2019s project?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The author\u2019s project focused on predicting health insurance costs using a dataset with factors like age and BMI. The project involved data cleaning, visualisation, and model training on the Google Cloud Platform.<\/span><\/p>\n<h3 id=\"how-did-the-author-optimise-their-model-for-accuracy\"><span class=\"ez-toc-section\" id=\"How_did_the_author_optimise_their_model_for_accuracy\"><\/span><b>How did the author optimise their model for accuracy?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The author trained the model on the Google Cloud Platform using Vertex AI, optimising it to achieve an R-squared score of 0.948. This improved the model\u2019s accuracy in predicting health insurance costs.<\/span><\/p>\n<h3 id=\"what-platform-did-the-author-use-to-deploy-their-web-application\"><span class=\"ez-toc-section\" id=\"What_platform_did_the_author_use_to_deploy_their_web_application\"><\/span><b>What platform did the author use to deploy their web application?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The author used bubble.io to create and deploy a web application. This app takes user input, predicts insurance costs via a linear regression model, and displays results through an API.<\/span><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">My journey with Pickl.AI has been both challenging and rewarding. From mastering core machine learning concepts to deploying a successful health insurance prediction model on the Google Cloud Platform, I&#8217;ve gained valuable experience. This project highlights the practical application of machine learning and cloud technologies, showcasing their potential in real-world scenarios.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Built and deployed a precise health insurance cost predictor using Google Cloud and bubble.io.\n","protected":false},"author":5,"featured_media":13774,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[3,82,46,2],"tags":[110,103,101,104,105,108,109,111,112,102,106,107],"ppma_author":[2173,2184],"class_list":{"0":"post-1470","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"category-career-path","9":"category-data-science","10":"category-machine-learning","11":"tag-amazon-data-engineer-interview-questions","12":"tag-data-engineer-manager-interview-questions","13":"tag-data-engineer-process-interview-questions","14":"tag-data-engineer-technical-interview-questions","15":"tag-data-engineering-tools","16":"tag-faang-data-engineer-question","17":"tag-facebook-data-engineer-interview-questions","18":"tag-google-data-engineer-interview-questions","19":"tag-how-to-prepare-for-the-data-engineer-interview","20":"tag-junior-data-engineer-interview-questions","21":"tag-python-interview-questions-for-data-engineers","22":"tag-sql-interview-questions-for-data-engineers"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v27.3) - 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