Devoirs Archive - Barka Dia https://barkadia.net/lesson/ Entrepreneur - Consultant - Formation et Accompagnement en marketing digital - Auteur du livre l'Essentiel du marketing digital Sat, 11 Jul 2026 23:59:00 +0000 fr-FR hourly 1 https://wordpress.org/?v=7.1 https://barkadia.net/wp-content/uploads/2026/02/barka-dia-profil-66x66.jpeg Devoirs Archive - Barka Dia https://barkadia.net/lesson/ 32 32 Analyze a Public Dataset https://barkadia.net/lesson/analyze-a-public-dataset/ Sat, 11 Jul 2026 23:59:00 +0000 http://tutor-lms-demo.com/courses/python-for-data-science/assignments/analyze-a-public-dataset/ 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.

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]]> 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.

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]]> Predictive Analytics Mini Project https://barkadia.net/lesson/predictive-analytics-mini-project/ Mon, 22 Jun 2026 06:37:42 +0000 http://tutor-lms-demo.com/courses/data-science-foundations/assignments/predictive-analytics-mini-project/ 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 NotebookPDF ReportModel Evaluation Summary (accuracy, RMSE, or F1 ...

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]]> Using a provided dataset, complete a full machine learning project.

Tasks

  1. Choose an appropriate machine learning model for the dataset.
  2. Split data into training and testing sets.
  3. Train the model using Scikit-Learn.
  4. Evaluate performance using appropriate metrics.
  5. Present findings and recommendations in a written summary.

Submission

  • Jupyter Notebook
  • PDF Report
  • Model Evaluation Summary (accuracy, RMSE, or F1 score as appropriate)

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]]> Sales Dashboard Project https://barkadia.net/lesson/sales-dashboard-project/ Mon, 22 Jun 2026 06:37:42 +0000 http://tutor-lms-demo.com/courses/data-science-foundations/assignments/sales-dashboard-project/ 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 trendsTop-performing categoriesSeasonal patterns Submission Jupyter NotebookPDF ExportCharts as PNG files

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]]> 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

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]]> Student Dataset Analysis https://barkadia.net/lesson/student-dataset-analysis/ Mon, 22 Jun 2026 06:37:42 +0000 http://tutor-lms-demo.com/courses/data-science-foundations/assignments/student-dataset-analysis/ 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

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]]> You have been provided a CSV file containing student exam scores.

Tasks

  1. Load the dataset using Pandas.
  2. Display the first 10 rows.
  3. Calculate average scores.
  4. Identify the highest-performing student.
  5. Write a short summary of your findings.

Submission

  • Python Notebook (.ipynb)
  • PDF Report

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]]> Build Your First Portfolio Page https://barkadia.net/lesson/build-your-first-portfolio-page-2/ Thu, 18 Jun 2026 23:59:00 +0000 http://tutor-lms-demo.com/courses/the-complete-web-development-bootcamp-2/assignments/build-your-first-portfolio-page-2/ Create a personal portfolio page using HTML & 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.

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]]> Create a personal portfolio page using HTML & 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.

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