This repository has notebooks with Machine learning tutorials for beginners.

./keras_mlp: MultiLayer Perceptron for regression.

./sklearn and ./sklearn2: sklearn models for regression.

./sentiment: different models for text classification or sentiment analysis. The data for codes in ./sentiment will be sent upon request. I cannot share it because of twitter/X current restrictions. To import llama2, ask for permission from Meta. You also need to create a token from your huggingface account and use it in the line login(token='')

./active_learning: A tutorial to show how to use active learning for a regression problem using Gaussian Process Regressor (GPR). modAL is an active learning package. Installing it on anaconda using pip has issues so I include it locally.