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This project predicts the burned area of forest fires using historical data and weather reports. It employs a neural network model built with TensorFlow, utilizing data preprocessing with Scikit-learn and analysis with Pandas and Matplotlib. The goal is to provide accurate, real-time predictions to aid in fire management and prevention.
This project implements a Disease Prediction System using various machine learning algorithms to predict potential diseases based on user-provided symptoms. The system utilizes a Django web framework to provide a user-friendly interface for inputting symptoms and viewing the predicted disease.
SpamGuard is a GitHub project offering machine learning-based email spam detection and classification. It includes data preprocessing, model training, and deployment guidance for creating robust spam filtering solutions.
Questo repositorio a da che fare con tutto il percorso necessario per una buona pianificazione e esecuzione di marketing digitale. Passa da orientazione dei dati, utilizzando linguaggi di programmazione Python, SQL e Jupyter per estrarre dati dei dataset... Dopo si organiza queste informazioni in marketing digitale e concettuale dove si attentia…
This project is aimed at predicting car's mileage (mpg) using a dataset which contains multiple features like car name, horsepower, number of cylinders and many more.