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.
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 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
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
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.
