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	<title>CUNY Academic Commons | Jonathan Asanjarani | Activity</title>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=157</link>
				<pubDate>Tue, 14 Jan 2025 03:34:50 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=157" rel="nofollow ugc">List of Tables</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=157" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2025/01/image.png" /></a> Table 1    Basic Descriptives of the cleveland training data        Table 2    Variable descriptives based on heart disease <a href="https://hdprediction.commons.gc.cuny.edu/?p=157" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=141</link>
				<pubDate>Sun, 05 Jan 2025 20:51:38 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=141" rel="nofollow ugc">Data Management Plan Overview</a></strong>Our data management plan ensures the organized, secure, and ethical handling of all project data. We will acquire datasets from the UCI <a href="https://hdprediction.commons.gc.cuny.edu/?p=141" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=139</link>
				<pubDate>Sun, 05 Jan 2025 20:50:37 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=139" rel="nofollow ugc">Digital References</a></strong>Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public <a href="https://hdprediction.commons.gc.cuny.edu/?p=139" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=137</link>
				<pubDate>Sun, 05 Jan 2025 20:49:25 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=137" rel="nofollow ugc">A Note on Technical Specifications</a></strong>This project used Google Collab as the development environment. Google Collab is a cloud-based Python platform providing access to GPUs <a href="https://hdprediction.commons.gc.cuny.edu/?p=137" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=135</link>
				<pubDate>Sun, 05 Jan 2025 20:47:32 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=135" rel="nofollow ugc">Data Dictionary</a></strong>Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine LearningAlgorithms: Insights from the UCI Irvine Public Heart <a href="https://hdprediction.commons.gc.cuny.edu/?p=135" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=133</link>
				<pubDate>Sun, 05 Jan 2025 20:45:28 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=133" rel="nofollow ugc">Digital Manifest</a></strong>Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public <a href="https://hdprediction.commons.gc.cuny.edu/?p=133" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://bikelanestudy.commons.gc.cuny.edu/?p=212</link>
				<pubDate>Mon, 30 Dec 2024 19:57:34 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=212" rel="nofollow ugc">Evaluating Project GreenWave using NYC Open Data</a></strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=212" rel="nofollow ugc"><img loading="lazy" src="https://bikelanestudy.commons.gc.cuny.edu/wp-content/blogs.dir/35061/files/2024/12/image-28.png" /></a> What is Project GreenWave?    Project GreenWave is New York City’s comprehensive i<a href="" rel="nofollow ugc"><span>Read more</span><i></i><em>&#8220;&#8221;</em></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=115</link>
				<pubDate>Sun, 29 Dec 2024 04:11:50 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=115" rel="nofollow ugc">Discussion &amp; Findings</a></strong>Discussion    Key findings:                 My project leveraged the Cleveland and VA Long Beach datasets, in the “Heart Disease” data <a href="https://hdprediction.commons.gc.cuny.edu/?p=115" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=106</link>
				<pubDate>Sun, 29 Dec 2024 04:08:09 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=106" rel="nofollow ugc">ASCVD (Atherosclerotic Cardiovascular Disease) Risk Score (Cleveland And VA Long Beach)</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=106" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image-70.png" /></a> Atherosclerotic Cardiovascular Disease Risk Calculation on Cleveland Dataset        The 2013 ASCVD (Atherosclerotic Cardiovascular <a href="https://hdprediction.commons.gc.cuny.edu/?p=106" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=99</link>
				<pubDate>Sun, 29 Dec 2024 03:58:20 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=99" rel="nofollow ugc">Male Vs. Female</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=99" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image-69.png" /></a> Is the Best Performing Models More Effective for Male vs. Female Population?    The highest-performing models were identified in Experiment <a href="https://hdprediction.commons.gc.cuny.edu/?p=99" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=84</link>
				<pubDate>Sun, 29 Dec 2024 03:49:40 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=84" rel="nofollow ugc">Transformation 3: Cleveland Only</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=84" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image-56.png" /></a> Optimizing Feature Engineering    In this third experiment, the focus is on enhancing the feature engineering component to improve model <a href="https://hdprediction.commons.gc.cuny.edu/?p=84" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=57</link>
				<pubDate>Sun, 29 Dec 2024 02:35:59 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=57" rel="nofollow ugc">Transformation 2: Cleveland and VA Long Beach</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=57" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image-41.png" /></a> Optimizing Feature Engineering    In this second experiment, the focus is on enhancing the feature engineering component to improve model <a href="https://hdprediction.commons.gc.cuny.edu/?p=57" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=44</link>
				<pubDate>Sun, 29 Dec 2024 02:11:26 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=44" rel="nofollow ugc">Transformation 1: Cleveland Only</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=44" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image-30.png" /></a> Optimizing Feature Engineering     Two custom transformers are applied to the first transformation. The custom transformers, “Log Tr <a href="https://hdprediction.commons.gc.cuny.edu/?p=44" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=12</link>
				<pubDate>Sun, 29 Dec 2024 01:51:40 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=12" rel="nofollow ugc">Exploratory Data Analysis (EDA on X_train, Cleveland Only)</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=12" rel="nofollow ugc"><img loading="lazy" src="https://hdprediction.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image.png" /></a> Basic Descriptives of the training set:         Age: The average age is approximately 54.77 years, ranging from 34 to 77 years. The <a href="https://hdprediction.commons.gc.cuny.edu/?p=12" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=10</link>
				<pubDate>Sun, 29 Dec 2024 01:13:17 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=10" rel="nofollow ugc">Materials and Methods</a></strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=10" rel="nofollow ugc"><img loading="lazy" src="https://s3.amazonaws.com/files.commons.gc.cuny.edu/wp-content/blogs.dir/36689/files/2024/12/image-75.png" /></a> Data    The UCI Machine Learning Repository is a comprehensive resource that provides databases, domain theories, and data generators <a href="https://hdprediction.commons.gc.cuny.edu/?p=10" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=8</link>
				<pubDate>Sun, 29 Dec 2024 01:10:26 -0500</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://hdprediction.commons.gc.cuny.edu/?p=8" rel="nofollow ugc">Literature Review</a></strong>Introduction    The central focus of my capstone project is to explore the effectiveness of machine learning models in predicting heart <a href="https://hdprediction.commons.gc.cuny.edu/?p=8" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani created the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://commons.gc.cuny.edu/activity/p/1033292/</link>
				<pubDate>Sun, 29 Dec 2024 01:03:23 -0500</pubDate>

				
				
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				<title>Jonathan Asanjarani wrote a new post on the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://bikelanestudy.commons.gc.cuny.edu/?p=131</link>
				<pubDate>Tue, 08 Oct 2024 22:14:10 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=131" rel="nofollow ugc">Exploring Bike Growth in New York City using NYC Open Data</a></strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=131" rel="nofollow ugc"><img loading="lazy" src="https://bikelanestudy.commons.gc.cuny.edu/wp-content/blogs.dir/35061/files/2024/12/image-1024x366.png" /></a> New York City Open Data hosts a dataset of bicycle counts collected at key<a href="" rel="nofollow ugc"><span>Read more</span><i></i><em>&#8220;&#8221;</em></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://bikelanestudy.commons.gc.cuny.edu/?p=129</link>
				<pubDate>Tue, 08 Oct 2024 22:13:25 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=129" rel="nofollow ugc">Mapping NYC Open Data: Exploring New York City Bike Routes</a></strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=129" rel="nofollow ugc"><img loading="lazy" src="https://bikelanestudy.commons.gc.cuny.edu/wp-content/blogs.dir/35061/files/2024/12/image-9-1024x394.png" /></a> B. Bike Routes of NYC    Source: Open Data NYC    Description: The New York City<a href="" rel="nofollow ugc"><span>Read more</span><i></i><em>&#8220;&#8221;</em></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://bikelanestudy.commons.gc.cuny.edu/?p=127</link>
				<pubDate>Tue, 08 Oct 2024 22:12:11 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=127" rel="nofollow ugc">Analyzing Cyclist-Involved Motor Vehicle Collisions Using NYC Open Data</a></strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=127" rel="nofollow ugc"><img loading="lazy" src="https://bikelanestudy.commons.gc.cuny.edu/wp-content/blogs.dir/35061/files/2024/12/image-13-1024x542.png" /></a> The Motor Vehicle Collisions crash table contains details on specific crash events<a href="" rel="nofollow ugc"><span>Read more</span><i></i><em>&#8220;&#8221;</em></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://bikelanestudy.commons.gc.cuny.edu/?p=122</link>
				<pubDate>Tue, 08 Oct 2024 22:09:49 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=122" rel="nofollow ugc">Analysis Questions:</a></strong>How does bicycle growth affect motor vehicle collisions?    How does bicycle<a href="" rel="nofollow ugc"><span>Read more</span><i></i><em>&#8220;&#8221;</em></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://bikelanestudy.commons.gc.cuny.edu/?p=16</link>
				<pubDate>Tue, 08 Oct 2024 21:44:20 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://bikelanestudy.commons.gc.cuny.edu/?p=16" rel="nofollow ugc">Contact</a></strong>Jonathan<a href="https://bikelanestudy.commons.gc.cuny.edu/2024/10/08/contact/" rel="nofollow ugc"><span>Read more</span><i></i><em>&#8220;Contact&#8221;</em></a></p>
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				<title>Jonathan Asanjarani created the site Exploratory Analysis of Bike Counts, Lanes, and Collisions in New York City</title>
				<link>https://commons.gc.cuny.edu/activity/p/1014127/</link>
				<pubDate>Mon, 07 Oct 2024 23:32:03 -0400</pubDate>

				
				
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				<title>Jonathan Asanjarani created the site Visualization and Design (S24)</title>
				<link>https://commons.gc.cuny.edu/activity/p/977581/</link>
				<pubDate>Tue, 13 Feb 2024 03:15:02 -0500</pubDate>

				
				
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				<title>Jonathan Asanjarani became a registered member</title>
				<link>https://commons.gc.cuny.edu/activity/p/890287/</link>
				<pubDate>Mon, 09 Jan 2023 19:48:07 -0500</pubDate>

				
				
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				<title>Jonathan Asanjarani wrote a new post on the site Sex-Specific and Regional Analysis of Heart Disease Prediction Using Machine Learning Algorithms: Insights from the UCI Irvine Public Heart Disease Datasets (Cleveland and Long Beach)</title>
				<link>https://hdprediction.commons.gc.cuny.edu/?p=1</link>
				<pubDate>Thu, 18 Oct 2018 23:18:27 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://default-template.commons.gc.cuny.edu/?p=1" rel="nofollow ugc">Abstract</a></strong>For this capstone project, I investigated how well machine learning models can predict heart disease, while also studying how the <a href="https://default-template.commons.gc.cuny.edu/?p=1" rel="nofollow ugc"><span>[&hellip;]</span></a></p>
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				<title>Jonathan Asanjarani wrote a new post on the site Visualization and Design (S24)</title>
				<link>https://vizanddesign.commons.gc.cuny.edu/?p=1</link>
				<pubDate>Thu, 18 Oct 2018 23:18:27 -0400</pubDate>

									<content:encoded><![CDATA[<p><strong><a href="https://default-template.commons.gc.cuny.edu/?p=1" rel="nofollow ugc">Tableau Laboratory Projects</a></strong><a href="https://default-template.commons.gc.cuny.edu/?p=1" rel="nofollow ugc"><img loading="lazy" src="https://vizanddesign.commons.gc.cuny.edu/wp-content/blogs.dir/32709/files/2018/10/Screenshot-2024-02-23-222400-300x68.png" /></a> Welcome to the Visualization Hub for &#8220;Visualization and Design (S24)&#8221;! Tableau visualizations crafted by Jonathan Asanjarani. Laboratory projects range from basic charts to advanced dashboards and best practices in data storytelling.        Lab 0: Population-Estimates-by-Country-1950-2015-United-Nations    Lab 1: Data Prep  For this Lab, I cleaned the data structure for a data set containing restaurant recommendations submitted by fellow students.This dataset is unnecessarily dirty because of the way that the questions were  asked.    Lab 2: Restaurant Recommendation Graphs    Lab 3:Restaurant Recommendation <a href="https://default-template.commons.gc.cuny.edu/?p=1" rel="nofollow ugc"><span><span>[&hellip;]</span></span> <span>&#8220;Tableau Laboratory Projects&#8221;</span></a></p>
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