Here are 50 Python-related algorithms and programming problems that focus on data science. Solving these will help you develop the skills needed for data manipulation, algorithm design, and basic machine learning tasks

desktop application utilizes voice fingerprint and spectrogram technology to identify individuals based on their unique vocal characteristics.

This project uses Logistic Regression on the Wisconsin Breast Cancer Dataset (30 features, 569 observations) to predict tumor malignancy, integrated into a Streamlit web app for real-time diagnosis.

An end-to-end serverless pipeline for Intelligent Document Processing (IDP) using Amazon Bedrock and Anthropic Claude 3 Sonnet. This project extracts structured data from scanned documents (e.g., PDFs, forms, invoices) using GenAI models, and stores results in a scalable cloud-native architecture.

Several implementations of machine learning models with accompanying reports. Covers both classical machine learning (regression, probabilistic learning) and deep learning (AlexNet, ResNet, etc.).

Integrated a real-time SLR system with a domain-specific LLM chatbot to enable natural, webcam-based communication for sign language users without the need for text or voice input.

A simple project that aims to translate German text into English using a multi-head self-attention transformer model made with pytorch.

Bike rentals predictions by using live data from Api's with lightgbm regressor.

A simple Tic-Tac-Toe AI built in Python using PyTorch for learning purposes.

te proyecto implementa un modelo de machine learning para predecir precios de viviendas utilizando el algoritmo Gradient Boosting. Desarrollado con un enfoque en la robustez y precisión, el modelo incluye procesamiento avanzado de datos, manejo de valores faltantes y transformaciones de característ

Simple FastAPI ML application project

Use this help them fix some bugs in code and description for mathematics formula.

In this project, we are working on developing or finding models for crowd counting.

An end-to-end machine learning (mlops) project using walmart dataset