Predictions using Machine Learning

This repositorie contains two projects that uses different models to classify and use regression on two datasets respectively.

Description

• The classification practice is made on a Kaggle dataset containing the detailed information about different penguin species, a model is trained to classify between the species.
• On the other hand, the regression practice dataset is about the analitical data from a certain band on spotify, two different models were trained to predict numerical information about it.

Getting Started

Libraries used

• pandas (to manage and pre-process the datasets)
• scikitlearn (used a few functions to pre-process and all the models to train the model?)
• matplotlib & seaborn (to plot the results)

Project files

Inside this repository you will find two folders (classification and regression), one por each project. Each folder contains the main '.ipynb' where the project and a detailed explanation for each step lies and a '.csv' containing the datasets obtained from Kaggle.

License

MIT

Notes

This was a uni practice to my "Machine Learning" subject.