Top 5 Data Science Project Ideas (2025 Edition)

Top 5 Data Science Project Ideas with GitHub & Dataset Links (2025 Edition)

If you’re looking for data science project ideas to strengthen your skills and build an impressive portfolio in 2025, real-world projects are the way to go. These projects combine datasets, machine learning techniques, and coding challenges that can help you stand out in interviews. Here are five excellent projects — with GitHub repositories and dataset links — to get started.

1. Predicting House Prices with Machine Learning

• Description: Create a regression model to predict house prices based on location, square footage, and property features.
• Skills: Feature engineering, regression models, model evaluation.
• Dataset: Kaggle – House Prices Dataset
• GitHub Repo: House Price Prediction Project

2. Sentiment Analysis on Twitter Data

• Description: Classify tweets as positive, negative, or neutral to understand public opinion on topics or brands.
• Skills: NLP, text cleaning, classification models.
• Dataset: Kaggle – Twitter US Airline Sentiment
• GitHub Repo: Twitter Sentiment Analysis

3. Image Classification with CNNs

• Description: Train a Convolutional Neural Network (CNN) to classify images into categories like animals, objects, or clothing.
• Skills: Deep learning, TensorFlow/Keras, CNNs.
• Dataset: CIFAR-10 Dataset
• GitHub Repo: Image Classification Project

4. Sales Forecasting with Time Series Analysis

• Description: Predict future product sales using historical sales data.
• Skills: Time series forecasting, ARIMA, Prophet library.
• Dataset: Kaggle – Store Item Demand Forecasting Challenge
• GitHub Repo: Time Series Forecasting

5. Credit Card Fraud Detection

• Description: Identify fraudulent credit card transactions using classification and anomaly detection.
• Skills: Data preprocessing, feature scaling, random forests.
• Dataset: Kaggle – Credit Card Fraud Detection
• GitHub Repo: Fraud Detection Project

Final Thoughts

These projects are perfect for portfolio building, skill development, and job applications. Start small, understand the datasets, and gradually implement advanced techniques. Recruiters love seeing GitHub profiles with real, documented projects.

For more open-source inspiration, check out GitHub’s Data Science Projects.

Related Read: Best AI Tools for Students and Professionals (2025)