Coding Challenge 187: Bayes Theorem

In this coding challenge, I struggle my measurement done implementing a Naive Bayes matter classifier successful JavaScript utilizing p5.js. I explicate Bayes' theorem, show connection wave analysis, instrumentality Laplacian smoothing, and build a moving sentiment classifier that runs wholly successful the browser. Code: https://thecodingtrain.com/challenges/187-bayesian-text-classification 🚀 Watch this video ad-free connected Nebula https://nebula.tv/videos/codingtrain-coding-challenge-187-bayes-classifier p5.js Web Editor Sketches: 🕹️ Text Classifier - Initial Version: https://editor.p5js.org/codingtrain/sketches/RZ8a1z4DN 🕹️ Text Classifier - Refactored Version: https://editor.p5js.org/codingtrain/sketches/P3ngrAANX 🕹️ Text Classifier - File Loading Version: https://editor.p5js.org/codingtrain/sketches/WowR2Q9xg 🎥 Previous: https://youtu.be/5iSAvzU2WYY?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH References: 📓 Naive Bayes Classifier: https://en.wikipedia.org/wiki/Naive_Bayes_classifier 📓 Laplacian Smoothing: https://en.wikipedia.org/wiki/Additive_smoothing Videos: 🚂 https://youtu.be/unm0BLor8aE 🚂 https://youtu.be/7DG3kCDx53c?list=PLRqwX-V7Uu6YEypLuls7iidwHMdCM6o2w 📺 https://youtu.be/HZGCoVF3YvM 🚂 https://youtu.be/0Ad5Frf8NBM Live Stream Archives: 🔴 https://youtube.com/live/TsBDm0P0qaA Related Coding Challenges: 🚂 https://youtu.be/unm0BLor8aE 🚂 https://youtu.be/eGFJ8vugIWA Timestamps: 0:00:00 Hello! 0:03:34 Explaining Bayes' Theorem 0:12:07 What is Naive Bayes? 0:13:49 Setting up the Classifier successful p5.js 0:15:41 Coding the train() function 0:22:14 Coding the classify() Function 0:24:45 Revising the train() function 0:29:06 Implementing Probability Calculations 0:33:24 Laplacian (Additive) Smoothing 0:42:21 Ignoring the enominator (Normalization) 0:45:36 Quick User Interface 0:49:42 Final thoughts and adjacent steps. Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://thecodingtrain.com/ 👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide 🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter: https://twitter.com/thecodingtrain 📸 Instagram: https://www.instagram.com/the.coding.train/ 🎥 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA 🔗 p5.js: https://p5js.org 🔗 p5.js Web Editor: https://editor.p5js.org/ 🔗 Processing: https://processing.org 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct This explanation was auto-generated. If you spot a problem, please unfastened an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new #bayestheorem #textclassification #naivebayes #sentimentanalysis #naturallanguageprocessing #machinelearning #wordfrequency #laplaciansmoothing #javascript #p5js