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📈 My Credit Readiness Check

Your credit score is just one part of your homeownership picture.

Enter your current credit score below to see where you stand today and what score you’re working toward.

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Your credit information will be saved to your Homeownership Roadmap and updated whenever your score changes.

Lesson 19 – Credit Readiness

Student enters

• Current credit score

Dashboard updates

• Current credit score
• Credit readiness status
• Goal score

Static information

• Acceptable score: 580
• Strong score: 680+
• Tips for improving credit

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.

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)

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

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

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.