Build a CLI app to record and visualize student scores using Pandas, with proper GitHub version control.

Fetch real-time weather from OpenWeather API, store in CSV, and plot trends using Matplotlib/Seaborn.

Load raw CSV data into SQL DB, generate three key reports, and export results to Excel/PDF.

Clean, visualize, and extract insights from C-level data on Kaggle or public datasets.

Use demographics and study hours to predict exam scores with regression techniques.

Classify emails as spam/ham using text preprocessing and basic NLP.

Apply decision trees to predict customer churn in subscription businesses.

Use K-means clustering to group customers and recommend products.

Examples: House Price Prediction, Bank Loan Approval Classifier, or Netflix Show Popularity Forecaster.

Analyze Yelp reviews using NLP to extract customer sentiment and business insights.

Generate fake sales datasets using Generative AI for model testing.

Compare the performance of AutoML pipelines against traditional manual modeling approaches.

Deliver a polished notebook, interactive dashboard, GitHub project page, and a well-structured presentation deck.