Time series analysis of the stocks of four of the biggest Brazilian banks with ARIMA modeling.
Unsupervised sentiment analysis of the Top 10 Year-End Billboard Hits of 2022 with VADER, TextBlob and Flair.
Using OpenCV for detecting images and building a training dataset for an LBPH image classifying model.
Studying the clustering of Pokemon stats data using K-Means and PokéAPI.
Predicting if it's going to rain using Decision Tree, Random Forest, XGBoost and CatBoost classifiers
Testing classification models for predicting rainy days using weather data from Sao Paulo (Brazil).
A method study of the development of a simple convolutional neural network for image classification using the CIFAR-10 dataset and Keras.