Data-Science-Projects

Welcome to ProjectPro's Data Science Projects Repository! This repository is a collaborative space for data developers interested in exploring and contributing to a wide range of data science projects. These projects span various domains—from forecasting and classification to recommendation systems and anomaly detection—providing real-world examples that help you build your data science skillset.

Introduction

Data science isn't just about theory—it’s about building, experimenting, and solving real-world business problems. We all know hands-on projects are the fastest way to learn new tools and technologies, sharpen your skills, and build a portfolio that stands out. This data science repository is a goldmine of practical, enterprise-grade projects covering everything from machine learning, deep learning, computer vision, and NLP to big data and MLOps. Each project is designed to help you tackle real-world challenges, with step-by-step guidance, datasets, and best practices to ensure you not only understand the concepts but can apply them effectively.

Here’s What You’ll Get

• Beginner to Advanced Data Science Projects across various verticals
• Real-world Datasets and detailed explanations to guide your learning
• Code implementation in Python, SQL, TensorFlow, and more
• Industry use cases in finance, healthcare, e-commerce, and beyond

If you’re serious about breaking into data science or mastering advanced techniques, these projects are all you need to build. All data science project solutions can be found here: ProjectPro Data Science Projects

List of Best Data Science Projects on Github

Below is a curated list of data science projects included in the ProjectPro repository. Each project includes a sample dataset or reference, along with documentation to help you get started quickly and experiment with real-world scenarios.

Sl No.	Project Name	Category/Focus	Description
1	Walmart Sales Forecast	Forecasting	Predict Walmart sales using historical data and time series analysis.
2	Card Default Predictor	Classification	Predict credit card defaults using ML techniques on transactional data.
3	BigMart Sales Forecast	Forecasting	Forecast sales at BigMart using store and product features.
4	Insurance Claims Severity	Regression/Ensemble	Predict insurance claims severity using ensemble methods.
5	House Price Predictor	Regression	Predict house prices using ML techniques in Python.
6	Music Recommender System	Recommendation Systems	Build a music recommender using KKBox's dataset and collaborative filtering.
7	Plant Species Classifier	Image Classification	Create a CNN-based classifier for plant species identification.
8	Avocado Price Predictor	Regression	Predict avocado prices using historical pricing data and ML models.
9	Insurance Pricing Forecast	Regression	Forecast insurance pricing using an XGBoost regressor.
10	Loan Eligibility Predictor	Classification	Predict loan eligibility using a gradient boosting classifier.
11	Churn Prediction Using Ensemble Models	Classification/Ensemble	Analyze customer churn using ensemble techniques.
12	Topic Modeling using KMeans	Clustering/NLP	Group customer reviews using KMeans clustering for topic modeling.
13	Card Default Prediction	Classification	Predict credit card defaults with advanced ML techniques.
14	Expedia Hotel Recommendation System	Recommendation Systems	Generate hotel recommendations using collaborative filtering and NLP.
15	Rossmann Sales Forecast	Forecasting	Forecast Rossmann store sales using time series analysis and ML.
16	Credit Fraud Detector	Classification	Detect fraudulent transactions using anomaly detection and classification methods.
17	Personalized Cancer Therapy	Healthcare/Personalization	Personalize cancer treatment using patient data and ML insights.
18	Telecom Churn Predictor	Classification	Predict telecom churn using logistic regression.
19	Loan Eligibility Prediction	Classification	Build a loan eligibility model using H2O.ai in Python.
20	Census Income Prediction	Classification	Predict adult census income using the Census Income dataset.
21	Ecommerce Product Reviews Analysis	Sentiment Analysis/Ranking	Analyze product reviews using pairwise ranking and sentiment analysis.
22	Retail Price Optimization	Optimization/Regression	Optimize retail pricing using historical sales data and ML models.
23	Market Basket Analysis	Association Rules	Discover frequent item sets using Apriori and FPGrowth algorithms.
24	Driver Demand Forecasting	Time Series Forecasting	Forecast driver availability using multistep time series analysis.
25	Collaborative Recommender System	Recommendation Systems	Build a collaborative filtering recommender system in Python.
26	Similar Images Finder	Computer Vision	Develop a tool to find similar images using Keras and TensorFlow.
27	Mask R-CNN Segmentation	Image Processing	Implement Mask R-CNN with TensorFlow for accurate image segmentation.
28	Face Recognition System	Computer Vision	Build a face recognition system in Python using FaceNet.
29	Business KPI Forecasting	Forecasting	Forecast key business KPIs using TensorFlow and Python.
30	Real-Time Fruit Detection	Deep Learning	Detect fruits in real time using YOLOv4.
31	Scaling ML usingFEAST Feature Store	Classification	A beginner project using FEAST for scaling ML.
32	GCP Mask R-CNN MLOps	MLOps/Computer Vision	Deploy Mask R-CNN on GCP with uWSGI and Flask.
33	Rule Based Recommender System	Recommendation Systems	Build a rule-based recommender system in Python.
34	Recommender System using Association Rule Mining	Recommendation Systems	Build a recommender system for market basket analysis using association rule mining..
35	Multi-Class Image Classifier	Image Classification	Build a CNN for multi-class image classification.
36	Ola Bike Demand Forecast	Time Series Forecasting	Forecast ride demand for Ola Bike using time series analysis.
37	Medical Image Segmentation	Image Processing/Healthcare	Apply deep learning for accurate medical image segmentation.
38	MNIST Digit Recognition	Classification	Use CNNs to recognize handwritten digits from the MNIST dataset.
39	LSH Look-Alike Modeling	NLP/Similarity	Implement locality sensitive hashing to identify look-alike items.
40	Custom OCR System	Computer Vision/NLP	Build an OCR system from scratch using YOLO and Tesseract.
41	Multi-Touch Attribution Model	Marketing Analytics	Develop a model to understand multi-touch attribution in marketing.
42	OpenCV Beginner Level Project	Computer Vision	Learn computer vision basics with OpenCV.
43	Banking Classification Model	Classification/Finance	Build classification algorithms for digital transformation in banking.
44	Advanced OpenCV Project	Computer Vision	Master advanced OpenCV concepts for computer vision tasks.
45	ARMA Time Series Model	Time Series Analysis	Build autoregressive and moving average models for time series forecasting.
46	ARIMA Forecasting Model	Time Series Forecasting	Build an ARIMA model for forecasting time series data.
47	AWS Topic Modeling MLOps	MLOps/NLP	Deploy a topic modeling pipeline on AWS using Gunicorn and Flask.
48	MLR Time Series Model	Regression/Forecasting	Build a multiple linear regression model for time series forecasting.
49	Predict License Status	Classification	Implement various ensemble techniques to predict license status for a given business.
50	Logistic Regression Scratch	Classification	Build a logistic regression model in Python from scratch.
51	Resume Parsing Deployment	NLP/Model Deployment	Deploy a resume parsing model on GCP using Streamlit.
52	ARCH/GARCH Time Series Models	Time Series Analysis	Build ARCH and GARCH models for volatility forecasting.
53	Flask ML Deployment	Model Deployment	Deploy ML models using Flask for a beginner-friendly introduction.
54	Azure Medical Text Analytics	NLP/Cloud Deployment	Deploy Azure Text Analytics for a medical search engine.
55	AWS ARCH/GARCH MLOps	MLOps/Time Series	Deploy ARCH and GARCH models on AWS with MLOps practices.
56	TF Transfer Learning Classifier	Image Classification	Use TensorFlow transfer learning for image classification.
57	GCP Loan Eligibility Predictor	Classification	Predict loan eligibility on GCP using advanced ML techniques.
58	Anomaly Detection with LOF	Anomaly Detection	Detect anomalies using Isolation Forest and LOF in Python.
59	Build a Content Based Recommender System	Recommendation Systems	Building a Content-Based Product Recommender App with Streamlit
60	GCP ARIMA MLOps Deployment	MLOps/Time Series	Deploy an ARIMA model on GCP using uWSGI and Flask.
61	Build an Optimal MLOps Pipeline	MLOps	Build an optimal end-to-end MLOps pipeline on GCP.
62	Transformer BART Summarizer	NLP/Model Deployment	Deploy a Transformer BART model on GCP for text summarization.
63	Gaussian Process Time Series	Time Series Forecasting	Build time series models using Gaussian Processes in Python.
64	AWS MLR MLOps Deployment	Regression/MLOps	Deploy a multiple linear regression model on AWS with MLOps.
65	GCP Kubeflow MLOps	MLOps	Deploy ML models on GCP using Kubeflow for scalable production.
66	AWS Gausiann Process Time Series MLOps	MLOps/Time Series	Deploy Gaussian Process time series models on AWS.
67	AWS Churn Prediction Deployment	Model Deployment	Deploy a customer churn prediction model on AWS.
68	Detectron2 Object Detection	Computer Vision	Implement Detectron2 for advanced object detection and segmentation.
69	Build a Simple Linear Regression Model	Regression	A beginner-friendly project on linear regression in Python.
70	Deep Time Series Forecasting	Deep Learning	Build a deep learning model for time series forecasting in Python.
71	Graph Recommender System	Recommendation Systems	Develop a graph-based recommendation system in Python.
72	AWS Banking Classification MLOps	MLOps/Finance	Deploy a classification model for banking on AWS.
73	Portfolio Optimization in R	Finance/Optimization	Build portfolio optimization models in R using ML-driven strategies.
74	Object Tracking with OpenCV	Computer Vision	Learn single and multi-object tracking using OpenCV and Python.
75	Paperspace BART Model Deployment	NLP/Cloud Deployment	Deploy a Transformer-BART model for text summarization on Paperspace Cloud.
76	Saturn Cloud Multi-Class Classifier	Classification/Cloud	Build a multi-class classification model on Saturn Cloud.
77	Ensemble Churn Predictor	Classification	Build a churn prediction model using ensemble learning techniques.
78	Azure DevOps Classification MLOps	MLOps/Classification	Deploy a classification model using Azure DevOps CI/CD pipelines.
79	Build a Multiple Linear Regression Model	Regression	Build a Multiple Linear Regression Model on Soccer Player Dataset.
80	Polynomial Regression Model	Regression	Learn to build a polynomial regression model from scratch.
81	PyCaret ML App Deployment	Automated ML/Deployment	Build and deploy an ML app using PyCaret and Streamlit.
82	Causal Inference in ML	Causal Inference	Explore causal inference techniques to determine cause-and-effect relationships in data.
83	Real Estate Price Predictor	Regression/NLP/Deployment	Build a real estate price prediction model with NLP and FastAPI.
84	Decision Tree Churn Predictor	Classification	Build a churn prediction model using decision trees.
85	Collaborative Filtering Recommender System	Recommendation Systems	Comparison of different model based and memory based methods to build recommendation system using collaborative filtering.
86	Paperspace Resume Parser MLOps	MLOps/NLP	Deploy a resume parser model with an end-to-end MLOps workflow on Paperspace.
87	NumPy Regression Models	Regression	Build linear, ridge, and lasso regression models in NumPy from scratch.
88	Deploy RNN CNN models for TimeSeries on Azure	Deep Learning/Cloud	Deploy RNN/CNN models for time series forecasting on Azure.
89	Time Series Analysis with Prophet & Cesium	Time Series Forecasting	Analyze time series data using Facebook Prophet and Cesium.
90	Hybrid Recommender System	Recommendation Systems	Build a hybrid recommender system using LightFM.
91	House Price Regression Models	Regression	Implement regression models for predicting house prices.
92	Graph Recommendation System	Recommendation Systems	Build a recommender system project for eCommerce platforms and learn to use FAISS for efficient similarity search.
93	Purchase Propensity Predictor	Classification	Predict customer propensity to purchase using ML techniques.
94	Elevator Failure Classifier	Time Series Classification	Predict elevator failures using time series classification.
95	Regression Discontinuity Design	Causal Inference	Apply regression discontinuity design to evaluate causal impacts in data.
96	AWS SageMaker Classifier	Model Deployment/Cloud	Build and deploy a classification model on AWS SageMaker.
97	End-to-End ML Monitoring	MLOps	Implement an ML monitoring pipeline using Airflow and Docker.
98	AWS LSTM Deployment	Deep Learning/Time Series	Build and deploy an LSTM model on AWS SageMaker for forecasting tasks.
99	End-to-End Snowflake Healthcare Analytics Project on AWS	Healthcare/Data Engineering	Execute healthcare analytics using Snowflake and AWS – Part 1.
100	End-to-End Snowflake Healthcare Analytics Project on AWS Part 2	Healthcare/Data Engineering	Continue building advanced healthcare analytics pipelines – Part 2.