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	<title>Devoirs Archive - Geochronique</title>
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	<description>L&#039;Histoire s&#039;écrit, la Terre se vit</description>
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		<title>Analyze a Public Dataset</title>
		<link>https://geochronique.site/lesson/analyze-a-public-dataset/</link>
		
		<dc:creator><![CDATA[MohamedMowlid]]></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 [&#8230;]</p>
<p>The post <a href="https://geochronique.site/lesson/analyze-a-public-dataset/">Analyze a Public Dataset</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
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										<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://geochronique.site/lesson/analyze-a-public-dataset/">Analyze a Public Dataset</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
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		<title>Predictive Analytics Mini Project</title>
		<link>https://geochronique.site/lesson/predictive-analytics-mini-project/</link>
		
		<dc:creator><![CDATA[MohamedMowlid]]></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. [&#8230;]</p>
<p>The post <a href="https://geochronique.site/lesson/predictive-analytics-mini-project/">Predictive Analytics Mini Project</a> appeared first on <a href="https://geochronique.site">Geochronique</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://geochronique.site/lesson/predictive-analytics-mini-project/">Predictive Analytics Mini Project</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
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		<item>
		<title>Sales Dashboard Project</title>
		<link>https://geochronique.site/lesson/sales-dashboard-project/</link>
		
		<dc:creator><![CDATA[MohamedMowlid]]></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 [&#8230;]</p>
<p>The post <a href="https://geochronique.site/lesson/sales-dashboard-project/">Sales Dashboard Project</a> appeared first on <a href="https://geochronique.site">Geochronique</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://geochronique.site/lesson/sales-dashboard-project/">Sales Dashboard Project</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
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		<title>Student Dataset Analysis</title>
		<link>https://geochronique.site/lesson/student-dataset-analysis/</link>
		
		<dc:creator><![CDATA[MohamedMowlid]]></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 [&#8230;]</p>
<p>The post <a href="https://geochronique.site/lesson/student-dataset-analysis/">Student Dataset Analysis</a> appeared first on <a href="https://geochronique.site">Geochronique</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://geochronique.site/lesson/student-dataset-analysis/">Student Dataset Analysis</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
]]></content:encoded>
					
		
		
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		<title>Build Your First Portfolio Page</title>
		<link>https://geochronique.site/lesson/build-your-first-portfolio-page-2/</link>
		
		<dc:creator><![CDATA[MohamedMowlid]]></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 [&#8230;]</p>
<p>The post <a href="https://geochronique.site/lesson/build-your-first-portfolio-page-2/">Build Your First Portfolio Page</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
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										<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://geochronique.site/lesson/build-your-first-portfolio-page-2/">Build Your First Portfolio Page</a> appeared first on <a href="https://geochronique.site">Geochronique</a>.</p>
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