This repository contains some jupyter notebooks that deal with data science, statistical analysis and numerical methods.
These notebooks use the sklearn library to deal with clustering, using KMeans, and classification, using MLPClassifier and RandomForestClassifier, problems.
These notebooks analise a hipotetical electoral survey and conducts some hypothesis test on this cenario.
These notebooks implements and apply numeric methods to a variety of cenarios.
Run 'python3 -m venv venv' to create a virtual environment, run 'source venv/bin/activate' to activate it, and 'pip install -r requirements.txt' to install dependencies.
Once with the virtual environment activated and dependencies installed, run 'jupyter notebook' to initiate the jupyter server. Once the interface opens in your browser, you can run and interact with the notebooks from there.