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machine learning.html
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<!DOCTYPE html>
<html class="no-js" lang="en">
<head>
<!--- basic page needs
================================================== -->
<meta charset="utf-8">
<title>Machine Learning</title>
<meta name="description" content="">
<meta name="author" content="">
<!-- mobile specific metas
================================================== -->
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<!-- CSS
================================================== -->
<link rel="stylesheet" href="css/base.css">
<link rel="stylesheet" href="css/vendor.css">
<link rel="stylesheet" href="css/main.css">
<!-- script
================================================== -->
<script src="js/modernizr.js"></script>
<script src="js/pace.min.js"></script>
<!-- favicons
================================================== -->
<link rel="shortcut icon" href="abc.png" type="image/x-icon">
<link rel="icon" href="abc.png" type="image/x-icon">
</head>
<body id="top">
<!-- Machine Learning
================================================== -->
<section id="home" style="background-image: url(./images/ml1.jpg);">
<div class="overlay"></div>
<div class="home-content-table">
<div class="home-content-tablecell">
<div class="row">
<div class="col-twelve">
<h3 class="animate-intro"></h3>
<h1 class="animate-intro">
Machine <br>
Learning
</h1>
<div class="more animate-intro">
<a class="smoothscroll button stroke" href="#about">
Learn More
</a>
</div>
</div> <!-- end col-twelve -->
</div> <!-- end row -->
</div> <!-- end home-content-tablecell -->
</div> <!-- end home-content-table -->
</section> <!-- end home -->
<!-- Movie Rating Prediction (using spark ML)
================================================== -->
<section id="about">
<div class="row about-wrap">
<div class="col-full">
<div class="about-profile-bg"></div>
<div class="intro">
<h3 class="animate-this">Movie Rating Prediction <br>(using spark-ML)</h3>
<p class="lead animate-this">
We built a Machine Learning model to predict the average rating of a movie based on some key features: <br>
Director name <br>
Writer Name<br>
Run Time of the Movie<br>
Genre of the Movie<br>
Year of Release<br>
</p>
</div>
</div> <!-- end col-full -->
</div> <!-- end about-wrap -->
</section> <!-- end about -->
<!-- Why Linear Regression Model ?
================================================== -->
<section id="contact">
<div class="overlay"></div>
<div class="row narrow section-intro with-bottom-sep animate-this">
<div class="col-twelve">
<h3 class="animate-this" style="color: white; font-size: 30px">Why Linear Regression Model ?</h3>
<p class="lead">
It is a well known model for machine learning and gives simple representations. <br>
Gives a Linear relationship between a dependent variable and one or more independent variables. <br>
A scatter plot of our features and label shows that there is a close relationship between two variables. <br>
</div>
</div> <!-- end section-intro -->
</section> <!-- end contact -->
<!-- Architecture
================================================== -->
<section id="ML Architecture">
<section id="about">
<div class="col-full">
<h3 class="animate-this">Architecture</h3>
<img src="images/ML Archi.png" alt="Architecture" style="width:90%;height:90%;">
</section> <!-- end about -->
</section>
<!-- Architecture
================================================== -->
<section id="Pipeline">
<section id="about">
<div class="col-full">
<h3 class="animate-this">Pipeline</h3>
<img src="images/ML pipeline.png" alt="Pipeline" style="width:90%;height:90%;">
</section> <!-- end about -->
</section>
<!-- Model Summary
================================================== -->
<section id="contact">
<div class="overlay"></div>
<div class="row narrow section-intro with-bottom-sep animate-this">
<div class="col-twelve">
<h3 class="animate-this" style="color: white; font-size: 30px">Model Summary</h3>
<p class="lead">
MAE (Mean Absolute Error) is a measure of difference between two continuous variables : .051903 <br>
MSE (Mean Squared Error) is a quality measure for the estimator : 0.135875<br>
RMSE is a measure of the average deviation of the estimates from the observed values (closer to zero is better) : 0.227823 <br>
r2 (R-squared) is a statistical measure of how close the data are to the fitted regression line : 0.955105 <br>
DOF (Degree Of Freedom) is the number of independent pieces of information that go into the estimate of a parameter : 2261.000000 <br>
Intercept: 6.53804863727 <br>
numIterations: 101 <br>
</div>
</div> <!-- end section-intro -->
</section> <!-- end contact -->
<!-- about
================================================== -->
<section id="about" style="background: black;">
<div class="row about-wrap">
<div class="col-full">
<div class="about-profile-bg"></div>
<div class="intro">
<h3 class="animate-this">Result</h3><br><br>
<div class="col-twelve">
<div class="more animate-intro">
<div class="col-twelve">
<a class="smoothscroll button stroke" href="http://localhost:8888/notebooks/Movie_Rating_Prediction.ipynb/#/" target="_blank">Jupyter</a>
<a class="smoothscroll button stroke" href="#SP">Scatter Plot</a>
<a class="smoothscroll button stroke" href="#Comparison">Comparison</a>
<a class="smoothscroll button stroke" href="#Test">Test Residual</a>
<a class="smoothscroll button stroke" href="#Train">Train Residual</a>
</div>
</div>
<script>
function mySA(name) {
var e = document.getElementById(name);
if(e.style.display === 'none')
e.style.display = 'block';
else
e.style.display = 'none';
}
</script>
</div> <!-- end col-twelve -->
</div> <!-- end row -->
</div> <!-- end col-full -->
</div> <!-- end about-wrap -->
</section> <!-- end about -->
<!-- Jupyter
==================================================
<section id="Jupyter" style="display:block">
<section id="about" >
<iframe src="http://localhost:8888/notebooks/Movie_Rating_Prediction.ipynb/" style="height: 1000px; width: 90%;"></iframe>
</section>
</section> -->
<!-- Plot
================================================== -->
<section id="SP" style="display:block">
<section id="about" style="background: #1f2326;">
<img src="images/graph/LabelPrediction.png" alt="LabelPrediction" style="width:90%;height:90%;">
<img src="images/graph/scatterPlot.png" alt="scatterPlot" style="width:90%;height:90%;">
</section> <!-- end about -->
</section>
<!-- Comparison
================================================== -->
<section id="Comparison" style="display:block">
<section id="about">
<img src="images/graph/Comparison.jpeg" alt="Comparison" style="width:90%;height:90%;">
</section> <!-- end about -->
</section>
<!-- Test Residual
================================================== -->
<section id="Test" style="display:block">
<section id="about" style="background: #1f2326;">
<img src="images/graph/Test Residual.png" alt="Test Residual" style="width:90%;height:90%;">
</section> <!-- end about -->
</section>
<!-- Train Residual
================================================== -->
<section id="Train" style="display:block">
<section id="about" >
<img src="images/graph/Train Residual.png" alt="Train Residual" style="width:90%;height:90%;">
</section> <!-- end about -->
</section>
<!-- Java Script
================================================== -->
<script src="js/jquery-2.1.3.min.js"></script>
<script src="js/plugins.js"></script>
<script src="js/main.js"></script>
</body>
</html>