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POC Framework Artificial Intelligence\n\n## Create application (Linear Regression) machine learning with framework-AI\n\n### Folder Structure\n\n * public/css/js\n * js/value.js\n * views/linear.html\n * app.js\n\n ### In public/js/value.js\n \n ```javascript\n\n'use strict';\n\nlet known_y = [55000,60000,57000,60000,70000,70000,60000,55000,74000,72000,80000,65000,75000,75000,72000,80000,95000,73000,93500,88500,90000];\nlet known_x = [41,45,48,50,52,53,56,57,60,60,64,65,65,65,67,68,68,69,70,70,70];\nlet lr = linearRegression(known_y, known_x);\n\tpredict = () => {\n c_x = document.getElementById(\"test_input\").value;\n c_y = lr.intercept + lr.slope * c_x;\n document.getElementById(\"c_y\").innerHTML = c_y;\n console.log(c_y);\n};\ndocument.getElementById(\"c_b\").innerHTML = lr.intercept;\ndocument.getElementById(\"c_a\").innerHTML = lr.slope;\npredict();\n\n```\n\n ### In views/linear.html\n \n ```html\n\n\n\n\n\n \n \n \n \n \n\tLinear Regression\n\t\n\n\n Linear Regression Example
\n \n
Equation: Y = b + a*x
\n
Model: Y = + *x
\n
Input
\n
Prediction for 34 mp =
\n