This is a Jupyter notebook from a Machine Learning tutorial where I perform exploratory data analysis on a soccer database available on Kaggle. The model outlines how the world's top soccer players in 2019 are remunarated annually, in contrast to how valuable they are.

python

Machine Learning

This is a Jupyter notebook from a Machine Learning tutorial where I learn use sci-kit learn and the iris flowers data from Kaggle to train a machine learning model through classification. The final result is shown in a graph.

 [ Work in progress!! ] I train two machine learning models (linear regression and decision tree) to predict home prices in a given district based on the median income in the area and the geolocation of the district

Portfolio

20 March 2020

Machine Learning

FIFA'19 Soccer Practice

machine learning

20 March 2020

Machine Learning

Iris Focus

machine learning

20 March 2020

Machine Learning

Housing Prices

machine learning