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	<title>Assignments Archive - Canadian Musician Royalty Collection Initiative</title>
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	<description>Helping Canadian Musicians Collect All Their Royalties</description>
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	<title>Assignments Archive - Canadian Musician Royalty Collection Initiative</title>
	<link>https://cmrci.ca/lesson/</link>
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	<item>
		<title>Predictive Analytics Mini Project</title>
		<link>https://cmrci.ca/lesson/predictive-analytics-mini-project-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=predictive-analytics-mini-project-2</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Tue, 18 Aug 2026 03:16:49 +0000</pubDate>
				<guid isPermaLink="false">https://cmrci.ca/lesson/predictive-analytics-mini-project-2/</guid>

					<description><![CDATA[<p>Using a provided dataset, complete a full machine learning project. Tasks Choose an appropriate machine learning model for the dataset. Split data into training and testing sets. Train the model using Scikit-Learn. Evaluate performance using appropriate metrics. Present findings and recommendations in a written summary. Submission Jupyter Notebook PDF Report Model Evaluation Summary (accuracy, RMSE, [&#8230;]</p>
<p>The post <a href="https://cmrci.ca/lesson/predictive-analytics-mini-project-2/">Predictive Analytics Mini Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Using a provided dataset, complete a full machine learning project.</p>
<h3>Tasks</h3>
<ol>
<li>Choose an appropriate machine learning model for the dataset.</li>
<li>Split data into training and testing sets.</li>
<li>Train the model using Scikit-Learn.</li>
<li>Evaluate performance using appropriate metrics.</li>
<li>Present findings and recommendations in a written summary.</li>
</ol>
<h3>Submission</h3>
<ul>
<li>Jupyter Notebook</li>
<li>PDF Report</li>
<li>Model Evaluation Summary (accuracy, RMSE, or F1 score as appropriate)</li>
</ul>
<p>The post <a href="https://cmrci.ca/lesson/predictive-analytics-mini-project-2/">Predictive Analytics Mini Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Sales Dashboard Project</title>
		<link>https://cmrci.ca/lesson/sales-dashboard-project-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=sales-dashboard-project-2</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Tue, 18 Aug 2026 03:16:46 +0000</pubDate>
				<guid isPermaLink="false">https://cmrci.ca/lesson/sales-dashboard-project-2/</guid>

					<description><![CDATA[<p>Analyze a retail sales dataset and create visualizations that communicate key business insights. Tasks Create one bar chart showing category performance Create one line chart showing sales over time Create one histogram showing value distribution Provide written insights explaining: Sales trends Top-performing categories Seasonal patterns Submission Jupyter Notebook PDF Export Charts as PNG files</p>
<p>The post <a href="https://cmrci.ca/lesson/sales-dashboard-project-2/">Sales Dashboard Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Analyze a retail sales dataset and create visualizations that communicate key business insights.</p>
<h3>Tasks</h3>
<ul>
<li>Create one bar chart showing category performance</li>
<li>Create one line chart showing sales over time</li>
<li>Create one histogram showing value distribution</li>
</ul>
<p>Provide written insights explaining:</p>
<ul>
<li>Sales trends</li>
<li>Top-performing categories</li>
<li>Seasonal patterns</li>
</ul>
<h3>Submission</h3>
<ul>
<li>Jupyter Notebook</li>
<li>PDF Export</li>
<li>Charts as PNG files</li>
</ul>
<p>The post <a href="https://cmrci.ca/lesson/sales-dashboard-project-2/">Sales Dashboard Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Student Dataset Analysis</title>
		<link>https://cmrci.ca/lesson/student-dataset-analysis-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=student-dataset-analysis-2</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Tue, 18 Aug 2026 03:16:42 +0000</pubDate>
				<guid isPermaLink="false">https://cmrci.ca/lesson/student-dataset-analysis-2/</guid>

					<description><![CDATA[<p>You have been provided a CSV file containing student exam scores. Tasks Load the dataset using Pandas. Display the first 10 rows. Calculate average scores. Identify the highest-performing student. Write a short summary of your findings. Submission Python Notebook (.ipynb) PDF Report</p>
<p>The post <a href="https://cmrci.ca/lesson/student-dataset-analysis-2/">Student Dataset Analysis</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>You have been provided a CSV file containing student exam scores.</p>
<h3>Tasks</h3>
<ol>
<li>Load the dataset using Pandas.</li>
<li>Display the first 10 rows.</li>
<li>Calculate average scores.</li>
<li>Identify the highest-performing student.</li>
<li>Write a short summary of your findings.</li>
</ol>
<h3>Submission</h3>
<ul>
<li>Python Notebook (.ipynb)</li>
<li>PDF Report</li>
</ul>
<p>The post <a href="https://cmrci.ca/lesson/student-dataset-analysis-2/">Student Dataset Analysis</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Analyze a Public Dataset</title>
		<link>https://cmrci.ca/lesson/analyze-a-public-dataset/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=analyze-a-public-dataset</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Sat, 11 Jul 2026 23:59:00 +0000</pubDate>
				<guid isPermaLink="false">http://tutor-lms-demo.com/courses/python-for-data-science/assignments/analyze-a-public-dataset/</guid>

					<description><![CDATA[<p>Download the Titanic or Iris dataset from a public source. Clean the data (handle missing values and data types), then create 3 visualizations: a bar chart, a histogram, and a scatter plot. Write a short 200-word summary of your key findings. Submit your Jupyter Notebook (.ipynb) file.</p>
<p>The post <a href="https://cmrci.ca/lesson/analyze-a-public-dataset/">Analyze a Public Dataset</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Download the Titanic or Iris dataset from a public source. Clean the data (handle missing values and data types), then create 3 visualizations: a bar chart, a histogram, and a scatter plot. Write a short 200-word summary of your key findings. Submit your Jupyter Notebook (.ipynb) file.</p>
<p>The post <a href="https://cmrci.ca/lesson/analyze-a-public-dataset/">Analyze a Public Dataset</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Student Dataset Analysis</title>
		<link>https://cmrci.ca/lesson/student-dataset-analysis/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=student-dataset-analysis</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Mon, 22 Jun 2026 06:37:42 +0000</pubDate>
				<guid isPermaLink="false">http://tutor-lms-demo.com/courses/data-science-foundations/assignments/student-dataset-analysis/</guid>

					<description><![CDATA[<p>You have been provided a CSV file containing student exam scores. Tasks Load the dataset using Pandas. Display the first 10 rows. Calculate average scores. Identify the highest-performing student. Write a short summary of your findings. Submission Python Notebook (.ipynb) PDF Report</p>
<p>The post <a href="https://cmrci.ca/lesson/student-dataset-analysis/">Student Dataset Analysis</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>You have been provided a CSV file containing student exam scores.</p>
<h3>Tasks</h3>
<ol>
<li>Load the dataset using Pandas.</li>
<li>Display the first 10 rows.</li>
<li>Calculate average scores.</li>
<li>Identify the highest-performing student.</li>
<li>Write a short summary of your findings.</li>
</ol>
<h3>Submission</h3>
<ul>
<li>Python Notebook (.ipynb)</li>
<li>PDF Report</li>
</ul>
<p>The post <a href="https://cmrci.ca/lesson/student-dataset-analysis/">Student Dataset Analysis</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Sales Dashboard Project</title>
		<link>https://cmrci.ca/lesson/sales-dashboard-project/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=sales-dashboard-project</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Mon, 22 Jun 2026 06:37:42 +0000</pubDate>
				<guid isPermaLink="false">http://tutor-lms-demo.com/courses/data-science-foundations/assignments/sales-dashboard-project/</guid>

					<description><![CDATA[<p>Analyze a retail sales dataset and create visualizations that communicate key business insights. Tasks Create one bar chart showing category performance Create one line chart showing sales over time Create one histogram showing value distribution Provide written insights explaining: Sales trends Top-performing categories Seasonal patterns Submission Jupyter Notebook PDF Export Charts as PNG files</p>
<p>The post <a href="https://cmrci.ca/lesson/sales-dashboard-project/">Sales Dashboard Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Analyze a retail sales dataset and create visualizations that communicate key business insights.</p>
<h3>Tasks</h3>
<ul>
<li>Create one bar chart showing category performance</li>
<li>Create one line chart showing sales over time</li>
<li>Create one histogram showing value distribution</li>
</ul>
<p>Provide written insights explaining:</p>
<ul>
<li>Sales trends</li>
<li>Top-performing categories</li>
<li>Seasonal patterns</li>
</ul>
<h3>Submission</h3>
<ul>
<li>Jupyter Notebook</li>
<li>PDF Export</li>
<li>Charts as PNG files</li>
</ul>
<p>The post <a href="https://cmrci.ca/lesson/sales-dashboard-project/">Sales Dashboard Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Predictive Analytics Mini Project</title>
		<link>https://cmrci.ca/lesson/predictive-analytics-mini-project/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=predictive-analytics-mini-project</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Mon, 22 Jun 2026 06:37:42 +0000</pubDate>
				<guid isPermaLink="false">http://tutor-lms-demo.com/courses/data-science-foundations/assignments/predictive-analytics-mini-project/</guid>

					<description><![CDATA[<p>Using a provided dataset, complete a full machine learning project. Tasks Choose an appropriate machine learning model for the dataset. Split data into training and testing sets. Train the model using Scikit-Learn. Evaluate performance using appropriate metrics. Present findings and recommendations in a written summary. Submission Jupyter Notebook PDF Report Model Evaluation Summary (accuracy, RMSE, [&#8230;]</p>
<p>The post <a href="https://cmrci.ca/lesson/predictive-analytics-mini-project/">Predictive Analytics Mini Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Using a provided dataset, complete a full machine learning project.</p>
<h3>Tasks</h3>
<ol>
<li>Choose an appropriate machine learning model for the dataset.</li>
<li>Split data into training and testing sets.</li>
<li>Train the model using Scikit-Learn.</li>
<li>Evaluate performance using appropriate metrics.</li>
<li>Present findings and recommendations in a written summary.</li>
</ol>
<h3>Submission</h3>
<ul>
<li>Jupyter Notebook</li>
<li>PDF Report</li>
<li>Model Evaluation Summary (accuracy, RMSE, or F1 score as appropriate)</li>
</ul>
<p>The post <a href="https://cmrci.ca/lesson/predictive-analytics-mini-project/">Predictive Analytics Mini Project</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Build Your First Portfolio Page</title>
		<link>https://cmrci.ca/lesson/build-your-first-portfolio-page-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=build-your-first-portfolio-page-2</link>
		
		<dc:creator><![CDATA[Andrew Kay]]></dc:creator>
		<pubDate>Thu, 18 Jun 2026 23:59:00 +0000</pubDate>
				<guid isPermaLink="false">http://tutor-lms-demo.com/courses/the-complete-web-development-bootcamp-2/assignments/build-your-first-portfolio-page-2/</guid>

					<description><![CDATA[<p>Create a personal portfolio page using HTML &#038; CSS. It must include at least 3 sections: About Me, Projects, and Contact. Use at least one Google Font, apply a color scheme using CSS variables, and make sure the layout uses Flexbox. Submit your HTML and CSS files as a ZIP.</p>
<p>The post <a href="https://cmrci.ca/lesson/build-your-first-portfolio-page-2/">Build Your First Portfolio Page</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Create a personal portfolio page using HTML &#038; CSS. It must include at least 3 sections: About Me, Projects, and Contact. Use at least one Google Font, apply a color scheme using CSS variables, and make sure the layout uses Flexbox. Submit your HTML and CSS files as a ZIP.</p>
<p>The post <a href="https://cmrci.ca/lesson/build-your-first-portfolio-page-2/">Build Your First Portfolio Page</a> appeared first on <a href="https://cmrci.ca">Canadian Musician Royalty Collection Initiative</a>.</p>
]]></content:encoded>
					
		
		
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