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diagnoses_hyperspectral_of_physiological_status_of_soybeans

Digital Solution - Stress Detection: Diagnosis of the Physiological Status of Soybean Crop through Hyperspectral Images

geobr_ipea_data

Use of the GeoBr package to access spatial data, from official sources of Brazil, developed by IPEA (Institute for Applied Economic Research) available for Python and R

moses-ramos

remote_sensing_vegetation_index

Remote Sensing Digital Satellite Image Processing with Python

timeseries_futures_sugar_market

Time series prediction models such as ARIMA, LSTM, and Prophet to predict sugar prices in the futures sugar market

train-valid-test-split

Definition of Train-Valid-Test Split Train-Valid-Test split is a technique to evaluate the performance of a machine learning model — classification or regression alike. We need to take a given dataset and divide it into three subsets. A brief description of the role of each of these datasets is below. Train Dataset Set of data used for learning (by the model), that is, to fit the parameters to the machine learning model Valid Dataset Set of data used to provide an unbiased evaluation of a model fitted on the training dataset while tuning model hyperparameters. Also play a role in other forms of model preparation, such as feature selection, and threshold cut-off selection. Test Dataset Set of data used to provide an unbiased evaluation of a final model fitted on the training dataset.