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.

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Table of Contents

• Why This Repo?
• Categories
• Learning Path
• All Projects
• Getting Started
• Contributing
• 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 (19)
• Regression (16)
• Time Series (6)
• NLP (20)
• Clustering (4)
• Recommendation Systems (5)
• Anomaly Detection (2)
• EDA Visualization (10)
• Miscellaneous Applied (10)
• Computer Vision (22)
• Robotics (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	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.

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