Visualizador de datos sobre los casos de corrupción en Chile

🛡️ Spam classifier using Python, capable of accurately categorizing messages as spam or non-spam. Leveraging machine learning techniques and natural language processing, it's a robust tool for filtering unwanted messages.

This project implements a collaborative filtering-based recommendation engine for movie suggestions, inspired by Netflix's recommendation system. The recommendation engine utilizes matrix factorization, specifically Singular Value Decomposition (SVD), to predict user preferences and generate personalized movie recommendations.

The core objective of the project is to extract the data of the stock markets and provide with some useful information in visualized form which enables the client to understand the trend in the data very easily.