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Predictive Analytics Mini Project

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)

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 trends
  • Top-performing categories
  • Seasonal patterns

Submission

  • Jupyter Notebook
  • PDF Export
  • Charts as PNG files

Student Dataset Analysis

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

Build Your First Portfolio Page

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.