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Beginner-Data-Science-Projects

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This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

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<h1 align="center">Beginner Level Data Science Projects</h1>

<p align="center">
  A curated collection of beginner-friendly data science projects with real datasets, clear explanations, and working code. Learn by building.
</p>

---

## Table of Contents

- [Why This Repo?](#why-this-repo)
- [Categories](#categories)
- [Learning Path](#learning-path)
- [All Projects](#all-projects)
- [Getting Started](#getting-started)
- [Contributing](#contributing)
- [License](#license)

## Why This Repo?

This repository is designed for **anyone getting started with data science** -- students, career switchers, and self-learners. Each project is a standalone Jupyter notebook that you can clone and run immediately.

You will learn:
- **Data Cleaning and Preprocessing** -- preparing real-world messy data
- **Exploratory Data Analysis** -- visualizations and statistical insights
- **Machine Learning** -- classification, regression, and anomaly detection
- **Deep Learning** -- CNNs, transfer learning, and NLP models
- **Computer Vision** -- detection, recognition, and pose estimation

## Categories

Projects are grouped into category folders, each with its own README listing every project in it:

- [Classification](Classification/README.md) (19)
- [Regression](Regression/README.md) (16)
- [Time Series](Time%20Series/README.md) (6)
- [NLP](NLP/README.md) (20)
- [Clustering](Clustering/README.md) (4)
- [Recommendation Systems](Recommendation%20Systems/README.md) (5)
- [Anomaly Detection](Anomaly%20Detection/README.md) (2)
- [EDA Visualization](EDA%20Visualization/README.md) (10)
- [Miscellaneous Applied](Miscellaneous%20Applied/README.md) (10)
- [Computer Vision](Computer%20Vision/README.md) (22)
- [Robotics](Robotics/README.md) (1)

## Learning Path

Start from the top and work your way down. Projects are ordered by difficulty within each level.

### Level 1 -- Fundamentals

Get comfortable with pandas, sklearn, and basic ML workflows.

| # | Project | What You'll Learn | Category |
|---|---------|-------------------|----------|
| 1 | [Titanic Survival Prediction](Classification/Titanic%20Survival%20Prediction) | EDA, data cleaning, feature engineering, 7 classifiers, GridSearchCV | Classification |
| 2 | [Iris Flower Classification](Classification/Iris%20Flower%20Classification) | Multi-class classification on the classic iris measurements, data loading | Classification |
| 3 | [Customer Churn](Classification/Customer%20Churn) | Logistic regression from scratch, prediction on new data | Classification |
| 4 | [Heart Failure Prediction](Classification/Heart%20Failure%20Prediction) | Feature analysis, multiple classifiers, model evaluation | Classification |
| 5 | [Rental Prices of AirBnb](Regression/Rental%20Prices%20of%20AirBnb) | Linear regression, outlier analysis, label encoding | Regression |

### Level 2 -- Text and NLP

Learn to work with text data, preprocessing pipelines, and NLP techniques.

| # | Project | What You'll Learn | Category |
|---|---------|-------------------|----------|
| 6 | [Message Spam Filtering](NLP/Message%20Spam%20Filtering) | TF-IDF, text preprocessing, SVM classification | NLP |
| 7 | [Cyber-Bullying Prediction](NLP/Cyber-Bullying%20Prediction) | NLP pipeline, GridSearchCV, model comparison | NLP |
| 8 | [Sentiment Analysis](NLP/Sentiment%20Analysis) | Logistic regression from scratch, Twitter data, NLTK | NLP |
| 9 | [AirBnb Reviews Sentimental Analysis](NLP/AirBnb%20reviews%20Sentimental%20Analysis) | Full NLP pipeline: preprocessing, ML, deep learning, LLMs | NLP |

### Level 3 -- Computer Vision and Deep Learning

Work with images, neural networks, and pre-trained models.

| # | Project | What You'll Learn | Category |
|---|---------|-------------------|----------|
| 10 | [Gender Classification](Computer%20Vision/Gender%20Classification) | EfficientNetV2, transfer learning, Keras | Computer Vision |
| 11 | [Face Detection](Computer%20Vision/Face%20Detection) | Haar cascades, MTCNN, OpenCV | Computer Vision |
| 12 | [Face Recognition](Computer%20Vision/Face%20Recognition) | LBPH algorithm, real-time webcam recognition | Computer Vision |
| 13 | [Eye Disease Detection](Computer%20Vision/Eye%20Disease%20Detection) | ResNet34, data augmentation pipeline, medical imaging | Computer Vision |
| 14 | [Alzheimer Detection](Computer%20Vision/Alzheimer%20Detection) | Clinical data analysis, Random Forest on medical data | Computer Vision |

### Level 4 -- Advanced Topics

Tackle more complex real-world problems.

| # | Project | What You'll Learn | Category |
|---|---------|-------------------|----------|
| 15 | [Network Intrusion Detection System](Anomaly%20Detection/Network%20Intrusion%20Detection%20System) | Ensemble methods, XGBoost, KDD Cup dataset | Anomaly Detection |
| 16 | [Object Detection](Computer%20Vision/Object%20Detection) | YOLOv8, Faster R-CNN, RetinaNet, Detectron2 | Computer Vision |
| 17 | [Pose Estimation](Computer%20Vision/Pose%20Estimation) | YOLOv8, MediaPipe, activity classification | Computer Vision |
| 18 | [Robotics and Computer Integrated Manufacturing](Robotics/Robotics%20and%20Computer%20Integrated%20Manufacturing) | MobileNetV2, transfer learning, industrial imaging | Robotics |

## All Projects

| # | Project | Category | Difficulty |
|---|---------|----------|------------|
| 1 | [Titanic Survival Prediction](Classification/Titanic%20Survival%20Prediction) | Classification | Beginner |
| 2 | [Iris Flower Classification](Classification/Iris%20Flower%20Classification) | Classification | Beginner |
| 3 | [Customer Churn](Classification/Customer%20Churn) | Classification | Beginner |
| 4 | [Heart Failure Prediction](Classification/Heart%20Failure%20Prediction) | Classification | Beginner |
| 5 | [Rental Prices of AirBnb](Regression/Rental%20Prices%20of%20AirBnb) | Regression | Beginner |
| 6 | [Message Spam Filtering](NLP/Message%20Spam%20Filtering) | NLP | Beginner |
| 7 | [Cyber-Bullying Prediction](NLP/Cyber-Bullying%20Prediction) | NLP | Beginner |
| 8 | [Sentiment Analysis](NLP/Sentiment%20Analysis) | NLP | Intermediate |
| 9 | [AirBnb Reviews Sentimental Analysis](NLP/AirBnb%20reviews%20Sentimental%20Analysis) | NLP | Intermediate |
| 10 | [Gender Classification](Computer%20Vision/Gender%20Classification) | Computer Vision | Intermediate |
| 11 | [Face Detection](Computer%20Vision/Face%20Detection) | Computer Vision | Intermediate |
| 12 | [Face Recognition](Computer%20Vision/Face%20Recognition) | Computer Vision | Intermediate |
| 13 | [Eye Disease Detection](Computer%20Vision/Eye%20Disease%20Detection) | Computer Vision | Intermediate |
| 14 | [Alzheimer Detection](Computer%20Vision/Alzheimer%20Detection) | Computer Vision | Intermediate |
| 15 | [Network Intrusion Detection System](Anomaly%20Detection/Network%20Intrusion%20Detection%20System) | Anomaly Detection | Advanced |
| 16 | [Object Detection](Computer%20Vision/Object%20Detection) | Computer Vision | Advanced |
| 17 | [Pose Estimation](Computer%20Vision/Pose%20Estimation) | Computer Vision | Advanced |
| 18 | [Robotics and Computer Integrated Manufacturing](Robotics/Robotics%20and%20Computer%20Integrated%20Manufacturing) | Robotics | Advanced |
| 19 | [Restaurant Revenue Prediction](Regression/Restaurant%20Revenue%20Prediction) | Regression | Beginner |
| 20 | [Image Color Compression](Clustering/Image%20Color%20Compression) | Clustering | Beginner |
| 21 | [Anomaly Detection in Transactions](Anomaly%20Detection/Anomaly%20Detection%20in%20Transactions) | Anomaly Detection | Intermediate |
| 22 | [Movie Recommendation System](Recommendation%20Systems/Movie%20Recommendation%20System) | Recommendation | Intermediate |
| 23 | [Book Recommendation System](Recommendation%20Systems/Book%20Recommendation%20System) | Recommendation | Intermediate |
| 24 | [Music Recommendation System](Recommendation%20Systems/Music%20Recommendation%20System) | Recommendation | Intermediate |
| 25 | [Product Recommendation System](Recommendation%20Systems/Product%20Recommendation%20System) | Recommendation | Intermediate |
| 26 | [Restaurant Recommendation System](Recommendation%20Systems/Restaurant%20Recommendation%20System) | Recommendation | Intermediate |
| 27 | [Resume Screening / Classification](NLP/Resume%20Screening%20Classification) | NLP | Beginner |
| 28 | [Amazon Review Sentiment Analysis](NLP/Amazon%20Review%20Sentiment%20Analysis) | NLP | Beginner |
| 29 | [Toxic Comment Classification](NLP/Toxic%20Comment%20Classification) | NLP | Intermediate |
| 30 | [Email Classification](NLP/Email%20Classification) | NLP | Beginner |
| 31 | [Song Lyrics Genre Classification](NLP/Song%20Lyrics%20Genre%20Classification) | NLP | Intermediate |
| 32 | [Autocorrect Tool](NLP/Autocorrect%20Tool) | NLP | Beginner |
| 33 | [Text Summarization](NLP/Text%20Summarization) | NLP | Intermediate |
| 34 | [Keyword Extraction](NLP/Keyword%20Extraction) | NLP | Intermediate |
| 35 | [Chatbot (Rule-Based)](NLP/Chatbot%20Rule%20Based) | NLP | Beginner |
| 36 | [Weather Forecasting](Time%20Series/Weather%20Forecasting) | Time Series | Intermediate |
| 37 | [COVID-19 Trend Analysis](Time%20Series/COVID-19%20Trend%20Analysis) | Time Series | Intermediate |
| 38 | [Website Traffic Forecasting](Time%20Series/Website%20Traffic%20Forecasting) | Time Series | Intermediate |
| 39 | [Retail Sales Forecasting](Time%20Series/Retail%20Sales%20Forecasting) | Time Series | Intermediate |
| 40 | [Cryptocurrency Price Trend Analysis](Time%20Series/Cryptocurrency%20Price%20Trend%20Analysis) | Time Series | Intermediate |
| 41 | [Uber Ride Demand Forecasting](Time%20Series/Uber%20Ride%20Demand%20Forecasting) | Time Series | Intermediate |
| 42 | [World Happiness Report Analysis](EDA%20Visualization/World%20Happiness%20Report%20Analysis) | EDA / Visualization | Beginner |
| 43 | [Netflix Content Analysis](EDA%20Visualization/Netflix%20Content%20Analysis) | EDA / Visualization | Beginner |
| 44 | [Olympics History Analysis](EDA%20Visualization/Olympics%20History%20Analysis) | EDA / Visualization | Intermediate |
| 45 | [FIFA Player Statistics Analysis](EDA%20Visualization/FIFA%20Player%20Statistics%20Analysis) | EDA / Visualization | Beginner |
| 46 | [Spotify Tracks Analysis](EDA%20Visualization/Spotify%20Tracks%20Analysis) | EDA / Visualization | Beginner |
| 47 | [YouTube Trending Analysis](EDA%20Visualization/YouTube%20Trending%20Analysis) | EDA / Visualization | Beginner |
| 48 | [E-Commerce Purchase Behavior Analysis](EDA%20Visualization/E-Commerce%20Purchase%20Behavior%20Analysis) | EDA / Visualization | Intermediate |
| 49 | [Global Terrorism Analysis](EDA%20Visualization/Global%20Terrorism%20Analysis) | EDA / Visualization | Intermediate |
| 50 | [Road Accident Analysis](EDA%20Visualization/Road%20Accident%20Analysis) | EDA / Visualization | Intermediate |
| 51 | [Stack Overflow Developer Survey Analysis](EDA%20Visualization/Stack%20Overflow%20Developer%20Survey%20Analysis) | EDA / Visualization | Intermediate |
| 52 | [Market Basket Analysis (Apriori)](Miscellaneous%20Applied/Market%20Basket%20Analysis) | Applied | Intermediate |
| 53 | [A/B Test Analysis](Miscellaneous%20Applied/A-B%20Test%20Analysis) | Applied | Intermediate |
| 54 | [Social Network Analysis](Miscellaneous%20Applied/Social%20Network%20Analysis) | Applied | Intermediate |
| 55 | [Plagiarism Detector](Miscellaneous%20Applied/Plagiarism%20Detector) | Applied | Intermediate |
| 56 | [QR Code Generator + Reader](Miscellaneous%20Applied/QR%20Code%20Generator%20and%20Reader) | Applied | Beginner |
| 57 | [Supply Chain Demand Prediction](Miscellaneous%20Applied/Supply%20Chain%20Demand%20Prediction) | Applied | Intermediate |
| 58 | [Web Scraping + Analysis (Job Postings)](Miscellaneous%20Applied/Web%20Scraping%20Job%20Postings) | Applied | Intermediate |
| 59 | [PDF Table Extractor + Analyzer](Miscellaneous%20Applied/PDF%20Table%20Extractor) | Applied | Intermediate |
| 60 | [Personal Finance Tracker](Miscellaneous%20Applied/Personal%20Finance%20Tracker) | Applied | Intermediate |
| 61 | [Image Captioning](Miscellaneous%20Applied/Image%20Captioning) | Applied / Deep Learning | Intermediate |
| 62 | [Handwritten Digit Recognition](Computer%20Vision/Handwritten%20Digit%20Recognition) | Computer Vision | Beginner |
| 63 | [Fruit Classification](Computer%20Vision/Fruit%20Classification) | Computer Vision | Beginner |
| 64 | [Animal Species Classification](Computer%20Vision/Animal%20Species%20Classification) | Computer Vision | Intermediate |
| 65 | [Document Scanner](Computer%20Vision/Document%20Scanner) | Computer Vision | Intermediate |
| 66 | [Color Detection](Computer%20Vision/Color%20Detection) | Computer Vision | Beginner |
| 67 | [Traffic Sign Recognition](Computer%20Vision/Traffic%20Sign%20Recognition) | Computer Vision | Intermediate |
| 68 | [Dog vs Cat Classification](Computer%20Vision/Dog%20vs%20Cat%20Classification) | Computer Vision | Beginner |
| 69 | [Emotion Detection](Computer%20Vision/Emotion%20Detection) | Computer Vision | Intermediate |
| 70 | [Pneumonia Detection](Computer%20Vision/Pneumonia%20Detection) | Computer Vision | Intermediate |
| 71 | [Skin Cancer Classification](Computer%20Vision/Skin%20Cancer%20Classification) | Computer Vision | Intermediate |
| 72 | [Bankruptcy Prediction](Classification/Bankruptcy%20Prediction) | Classification | Intermediate |
| 73 | [Breast Cancer Wisconsin](Classification/Breast%20Cancer%20Wisconsin) | Classification | Beginner |
| 74 | [Credit Card Default Prediction](Classification/Credit%20Card%20Default%20Prediction) | Classification | Beginner |
| 75 | [Credit Card Fraud Detection](Classification/Credit%20Card%20Fraud%20Detection) | Classification | Intermediate |
| 76 | [Diabetes Prediction](Classification/Diabetes%20Prediction) | Classification | Beginner |
| 77 | [Employee Attrition Prediction](Classification/Employee%20Attrition%20Prediction) | Classification | Beginner |
| 78 | [Loan Approval Prediction](Classification/Loan%20Approval%20Prediction) | Classification | Intermediate |
| 79 | [Mushroom Edibility Classification](Classification/Mushroom%20Edibility%20Classification) | Classification | Beginner |
| 80 | [Parkinsons Disease Detection](Classification/Parkinsons%20Disease%20Detection) | Classification | Intermediate |
| 81 | [Rain Prediction](Classification/Rain%20Prediction) | Classification | Beginner |
| 82 | [Stroke Prediction](Classification/Stroke%20Prediction) | Classification | Intermediate |
| 83 | [Student Pass-Fail Prediction](Classification/Student%20Pass-Fail%20Prediction) | Classification | Beginner |
| 84 | [Thyroid Disease Classification](Classification/Thyroid%20Disease%20Classification) | Classification | Beginner |
| 85 | [Water Potability Classification](Classification/Water%20Potability%20Classification) | Classification | Beginner |
| 86 | [Wine Quality Classification](Classification/Wine%20Quality%20Classification) | Classification | Beginner |
| 87 | [House Price Prediction](Regression/House%20Price%20Prediction) | Regression | Beginner |
| 88 | [Car Price Prediction](Regression/Car%20Price%20Prediction) | Regression | Beginner |
| 89 | [Avocado Price Prediction](Regression/Avocado%20Price%20Prediction) | Regression | Beginner |
| 90 | [Diamond Price Prediction](Regression/Diamond%20Price%20Prediction) | Regression | Beginner |
| 91 | [Fuel Efficiency Prediction](Regression/Fuel%20Efficiency%20Prediction) | Regression | Beginner |
| 92 | [Salary Prediction](Regression/Salary%20Prediction) | Regression | Beginner |
| 93 | [Insurance Cost Prediction](Regression/Insurance%20Cost%20Prediction) | Regression | Beginner |
| 94 | [Bike Sharing Demand Prediction](Regression/Bike%20Sharing%20Demand%20Prediction) | Regression | Beginner |
| 95 | [Gold Price Prediction](Regression/Gold%20Price%20Prediction) | Regression | Beginner |
| 96 | [Flight Price Prediction](Regression/Flight%20Price%20Prediction) | Regression | Intermediate |
| 97 | [Crop Yield Prediction](Regression/Crop%20Yield%20Prediction) | Regression | Intermediate |
| 98 | [Stock Price Prediction](Regression/Stock%20Price%20Prediction) | Regression | Intermediate |
| 99 | [Energy Consumption Forecasting](Regression/Energy%20Consumption%20Forecasting) | Regression | Intermediate |
| 100 | [Air Quality Forecasting](Regression/Air%20Quality%20Forecasting) | Regression | Intermediate |
| 101 | [Fake News Detection](NLP/Fake%20News%20Detection) | NLP | Beginner |
| 102 | [Movie Review Sentiment Analysis](NLP/Movie%20Review%20Sentiment%20Analysis) | NLP | Beginner |
| 103 | [Twitter Hate Speech Detection](NLP/Twitter%20Hate%20Speech%20Detection) | NLP | Beginner |
| 104 | [Language Detection](NLP/Language%20Detection) | NLP | Beginner |
| 105 | [Sarcasm Detection](NLP/Sarcasm%20Detection) | NLP | Beginner |
| 106 | [News Article Topic Classification](NLP/News%20Article%20Topic%20Classification) | NLP | Beginner |
| 107 | [Statistical Language Modeling](NLP/Statistical%20Language%20Modeling) | NLP | Intermediate |
| 108 | [Mall Customer Segmentation](Clustering/Mall%20Customer%20Segmentation) | Clustering | Beginner |
| 109 | [Customer Segmentation](Clustering/Customer%20Segmentation) | Clustering | Beginner |
| 110 | [Document Clustering](Clustering/Document%20Clustering) | Clustering | Beginner |
| 111 | [Plant Disease CNNs](Computer%20Vision/Plant%20Disease%20CNNs) | Computer Vision | Intermediate |
| 112 | [Mask Detection](Computer%20Vision/Mask%20Detection) | Computer Vision | Intermediate |
| 113 | [Hand Gesture Recognition](Computer%20Vision/Hand%20Gesture%20Recognition) | Computer Vision | Intermediate |
| 114 | [Vehicle Counting from Video](Computer%20Vision/Vehicle%20Counting%20from%20Video) | Computer Vision | Advanced |
| 115 | [License Plate Detection](Computer%20Vision/License%20Plate%20Detection) | Computer Vision | Advanced |

## Getting Started

### Prerequisites

- Python 3.9+
- Jupyter Notebook or JupyterLab

### Core Libraries

```bash
pip install pandas numpy matplotlib seaborn scikit-learn jupyter
```

### Additional Libraries (by project type)

| Project Type | Install |
|-------------|---------|
| Deep Learning | `pip install tensorflow keras` |
| Computer Vision | `pip install opencv-python` |
| NLP | `pip install nltk` |
| Object Detection | `pip install ultralytics` |

Each project has its own `requirements.txt` for exact dependencies:

```bash
cd "Project Folder Name"
pip install -r requirements.txt
jupyter notebook
```

### Quick Start

```bash
git clone https://github.com/tkarim45/Beginner-Data-Science-Projects.git
cd Beginner-Data-Science-Projects

# Pick a project and run it
cd "Iris Flower Classification"
pip install -r requirements.txt
jupyter notebook
```

## Contributing

Contributions are welcome! Please read our [Contributing Guide](CONTRIBUTING.md) before submitting a PR.

**Quick rules:**
- One project per PR
- Include a README, requirements.txt, and working notebook
- Host large datasets externally (>10 MB)
- Do not commit model binaries

## License

This project is licensed under the [MIT License](LICENSE) -- use it freely for learning, teaching, or building.

---

<p align="center">
  If this repo helped you, consider giving it a star -- it helps others find it too.
</p>

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