Data Science Projects

1. Netflix Movie Data Analysis – Explore content, ratings, genres.
2. COVID-19 Data Tracker – Visualize trends by country/region.
3. Sales Data Analysis (Excel to Python) – Pivot tables + plots.
4. Olympics Dataset Analysis – Medal counts, trends, country-wise analysis.
5. Population Growth Prediction – Use regression models.
6. Top YouTube Channels Analysis – View count, category, growth.
7. Census Data Analysis – Literacy, age group, urban/rural distribution.
8. Airline Delay Analysis – Visualize flight delays across carriers.
9. Supermarket Sales Dashboard – Time-based sales insights.
10. IMDb Movie Ratings Analysis – Trends by year, genre, rating.
11. Housing Market Analysis – Correlate features with price.
12. Loan Approval Prediction – Classification on loan data.
13. Customer Churn Analysis – Telco or bank customer churn prediction.
14. Employee Attrition Prediction – Analyze HR data for turnover patterns.
15. Sentiment Analysis on Twitter Data – NLP + polarity detection.
16. Real-time Weather Dashboard – Use APIs + visualization.
17. E-commerce Customer Segmentation – Cluster analysis using K-Means.
18. Car Price Prediction – Regression with brand, mileage, etc.
19. Heart Disease Prediction – ML on health features.
20. Bike Sharing Demand Forecasting – Time series analysis.
21. Student Performance Analytics – Predict grades from study habits.
22. LinkedIn Data Analysis – Extract and analyze job trends.
23. Reddit Topic Modeling – NLP + LDA to find hidden topics.
24. Quora Question Pair Similarity – Determine if questions are duplicates.
25. EdTech Feedback Sentiment Analysis – Clean and classify student reviews.
26. Amazon Product Review Analysis – Sentiment and word clouds.
27. Sales Forecasting for Stores – Predict future revenue.
28. Recommendation System for Products – Collaborative filtering.
29. Market Basket Analysis – Apriori algorithm for purchase patterns.
30. Product Pricing Strategy Dashboard – Analyze price elasticity.
31. Earthquake Data Visualization – Map and analyze historical data.
32. Pollution Data Analysis (AQI) – Detect seasonal air quality trends.
33. Real-time Weather Forecasting Model – Integrate with OpenWeather API.
34. Global Hunger Index Analysis – Correlation with GDP, population, etc.
35. Deforestation Visualization by Country – Longitudinal data analysis.
36. Stock Market Trend Analysis – Candlestick visualization + LSTM model.
37. Electricity Demand Forecasting – Seasonal decomposition and ML.
38. Unemployment Rate Forecasting – Use ARIMA or Prophet.
39. Oil Price Prediction – Feature engineering + regression.
40. Retail Inventory Demand Forecast – Multi-store and SKU level forecasting.
41. Fake News Classifier – NLP classification using word embeddings.
42. Text Summarization Tool – Extractive or abstractive model.
43. Anomaly Detection in Financial Transactions – Isolation forest or autoencoders.
44. Resume Matching System – NLP model for scoring resumes to job descriptions.
45. Text-to-Insights Dashboard – Convert paragraphs into keyword insights.
46. Data Science for Agriculture (Crop Yield Predictor) – Rainfall, soil, temperature-based predictions.
47. Healthcare Patient Readmission Prediction – Logistic regression + visualizations.
48. Smart City Data Analytics – Analyze traffic, water, electricity usage.
49. Election Result Predictor – Based on past voting patterns and demographics.
50. Crime Data Analysis and Hotspot Mapping – Cluster-based heatmaps