Prediction using Electroencephalography EEG signal and Classification based on tasks

The dataset contains 14 EEG channels for around 50 patients with class/task, score, PPG, BPM, IBI, gsrRaw, gsrLPF. The patient was told to listen to a audio stream and then write them down. Based on this the dataset was created.
Need to perform - signal processing, extract features, predict and classify based on the features and get better result for both the tasks.