Classification-of-Objects-using-a-Radar-Signal-and-Machine-Learning
a practical executed to classify objects using a radar signal and machine learning. Data was provided which contains a part that labeled and another which wasnβt labeled. The aim of the practical is to develop a good machine learning model using the labeled data to generalize on new data, in this case, the unlabeled data. The data are of two types, one for binary classification, that is, two labels/outputs and multiclass classification, that is, more than two labels/outputs. The models with the best performance in each case will be used to predict on the unlabeled data.
