Are you looking for Data Science Projects with Source Code?… If yes, you are in the right place. I have listed the 10 Data Science Projects with Source Code in this article. I would suggest you select a project and start working on it.
Now, without any further ado, let’s get started-
Data Science Projects with Source Code
- 1. Handwritten Digit Recognition:
- 2. Movie Genre Classification:
- 3. Customer Reviews Sentiment Analysis:
- 4. Predicting Stock Prices:
- 5. Image Object Detection:
- 6. Twitter Hashtag Analyzer:
- 7. Credit Risk Assessment:
- 8. Email Spam Filtering:
- 9. Customer Segmentation for E-commerce:
- 10. Weather Forecasting:
- Summary of Data Science Projects with Source Code
- Conclusion
1. Handwritten Digit Recognition:
Do you want to build a system that can recognize handwritten digits? Using Python and popular libraries like TensorFlow or PyTorch, you’ll create a model that can accurately identify numbers written by hand. You’ll learn about image processing, deep learning, and how to evaluate the performance of your model.
Source code: GitHub Repository
2. Movie Genre Classification:
Lights, camera, action! If you love movies, this project is perfect for you. With Python and machine learning techniques, you’ll build a model that can predict the genre of a movie based on its metadata. By understanding text preprocessing, feature extraction, and classification algorithms, you’ll become a movie genre expert.
Source code: GitHub Repository
3. Customer Reviews Sentiment Analysis:
Ever wondered how to determine whether a customer review is positive or negative? With Python and natural language processing (NLP) libraries, you’ll analyze customer reviews and build a sentiment analysis model. This project will help you explore text preprocessing, feature engineering, and the fascinating world of sentiment analysis.
Source code: GitHub Repository
4. Predicting Stock Prices:
Are you interested in the stock market? In this project, you’ll predict stock prices using Python and machine learning algorithms. By analyzing historical data, you’ll build a model that can forecast the future prices of stocks. Get ready to uncover the secrets of time series analysis, feature engineering, and regression techniques.
Source code: GitHub Repository
5. Image Object Detection:
Imagine building a model that can identify objects in images automatically. With Python and deep learning frameworks, you’ll dive into the world of image processing. By training a model on popular datasets, you’ll learn how to detect and classify objects in images. Get ready to explore convolutional neural networks (CNNs) and object detection algorithms.
Source code: GitHub Repository
6. Twitter Hashtag Analyzer:
Did you know that Twitter is a treasure trove of valuable information? In this project, you’ll analyze Twitter data using Python and NLP libraries. By extracting hashtags from tweets and analyzing their frequencies, you’ll gain insights into popular topics and trends. Uncover the power of data scraping, text preprocessing, and data visualization.
Source code: GitHub Repository
7. Credit Risk Assessment:
Have you ever wondered how banks assess credit risk? In this project, you’ll use Python and machine learning techniques to build a credit risk assessment model. By analyzing customer data, you’ll predict the likelihood of loan default. Get ready to explore data preprocessing, feature selection, and classification algorithms in the finance domain.
Source code: GitHub Repository
8. Email Spam Filtering:
Nobody likes spam emails cluttering their inbox. With Python and machine learning algorithms, you’ll build an email spam filtering system. By training a model on a dataset of labeled emails, you’ll be able to automatically classify incoming emails as spam or non-spam. Say goodbye to annoying spam messages using text preprocessing, feature extraction, and classification techniques.
Source code: GitHub Repository
9. Customer Segmentation for E-commerce:
Understanding your customers is crucial for any business. In this project, you’ll perform customer segmentation using Python and clustering algorithms. By analyzing customer data, you’ll group customers based on their purchasing behavior. Discover the power of data preprocessing, feature scaling, and clustering techniques to gain insights about your e-commerce customers.
Source code: GitHub Repository
10. Weather Forecasting:
Wouldn’t it be amazing to predict the weather accurately? In this project, you’ll use Python and time series analysis techniques to forecast weather conditions. By analyzing historical weather data, you’ll build a model that can predict temperature, humidity, or rainfall. Discover the secrets of data preprocessing, feature engineering, and time series forecasting.
Source code: GitHub Repository
Summary of Data Science Projects with Source Code
| S/N | Project | Description | Source Code |
|---|---|---|---|
| 1 | Handwritten Digit Recognition | Recognize handwritten digits | GitHub Repository |
| 2 | Movie Genre Classification | Classify movie genres based on metadata | GitHub Repository |
| 3 | Customer Reviews Sentiment Analysis | Analyze sentiment in customer reviews | GitHub Repository |
| 4 | Predicting Stock Prices | Predict future stock prices | GitHub Repository |
| 5 | Image Object Detection | Detect and classify objects in images | GitHub Repository |
| 6 | Twitter Hashtag Analyzer | Analyze frequencies of Twitter hashtags | GitHub Repository |
| 7 | Credit Risk Assessment | Assess credit risk using customer data | GitHub Repository |
| 8 | Email Spam Filtering | Filter emails and classify spam | GitHub Repository |
| 9 | Customer Segmentation for E-commerce | Segment e-commerce customers | GitHub Repository |
| 10 | Weather Forecasting | Predict weather conditions | GitHub Repository |
And here the list ends. I hope these Projects will help you to practice Data Science. I would suggest you bookmark this article for future referrals.
Now it’s time to wrap up.
Conclusion
I tried to cover the 10 Data Science Projects with Source Code in this article. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.