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Beginner-Data-Science-Projects

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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创建于 2024-03-10 · 更新于 2026-10-17 · 今日第 2568 名
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README

Beginner Level Data Science Projects

A curated collection of beginner-friendly data science projects with real datasets, clear explanations, and working code. Learn by building.

Table of Contents

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:

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 EDA, data cleaning, feature engineering, 7 classifiers, GridSearchCV Classification
2 Iris Flower Classification Multi-class classification on the classic iris measurements, data loading Classification
3 Customer Churn Logistic regression from scratch, prediction on new data Classification
4 Heart Failure Prediction Feature analysis, multiple classifiers, model evaluation Classification
5 Rental Prices of AirBnb 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 TF-IDF, text preprocessing, SVM classification NLP
7 Cyber-Bullying Prediction NLP pipeline, GridSearchCV, model comparison NLP
8 Sentiment Analysis Logistic regression from scratch, Twitter data, NLTK NLP
9 AirBnb Reviews Sentimental Analysis 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 EfficientNetV2, transfer learning, Keras Computer Vision
11 Face Detection Haar cascades, MTCNN, OpenCV Computer Vision
12 Face Recognition LBPH algorithm, real-time webcam recognition Computer Vision
13 Eye Disease Detection ResNet34, data augmentation pipeline, medical imaging Computer Vision
14 Alzheimer Detection 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 Ensemble methods, XGBoost, KDD Cup dataset Anomaly Detection
16 Object Detection YOLOv8, Faster R-CNN, RetinaNet, Detectron2 Computer Vision
17 Pose Estimation YOLOv8, MediaPipe, activity classification Computer Vision
18 Robotics and Computer Integrated Manufacturing MobileNetV2, transfer learning, industrial imaging Robotics

All Projects

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

Getting Started

Prerequisites

  • Python 3.9+
  • Jupyter Notebook or JupyterLab

Core Libraries

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:

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

Quick Start

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 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 -- use it freely for learning, teaching, or building.

If this repo helped you, consider giving it a star -- it helps others find it too.

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