Projects
Coffee Arabica Price Prediction
Application of a Long Short-Term Memory (LSTM) machine learning model for daily price prediction (in BRL) of Arabica coffee in Brazil, using ten years of historical data.
The model successfully learned the temporal dependencies in the data, achieving competitive performance, as indicated by the low values of the MAE, MAPE, and RMSE metrics on the validation set.
Check the full code here:
London Bike Rides
A data analysis project: from collecting data programmatically using the Kaggle API, through data exploration, cleaning and manipulation using the pandas library in Python, to data visualization in Tableau.
The main goal is to create an interactive dashboard in order to visualize data on bike rides in London, between 2015-2017, showing: the total and the moving average of bike rides in a pre-selected time interval, as well as a heatmap of temperature vs. wind speed for the same period.
Check the full code here:
