Using the techniques from task 1, create and fine tune NNs for **2/3 or all** of the following datasets: [CTG](https://archive.ics.uci.edu/ml/datasets/Cardiotocography), [Sensorless Drive](https://archive.ics.uci.edu/ml/datasets/Dataset+for+Sensorless+Drive+Diagnosis), [DryBean](https://archive.ics.uci.edu/ml/datasets/Dry+Bean+Dataset)
Using the techniques from task 1, create and fine tune NNs for **2 or more** of the datasets within the notebook along with thei respective TODOs.
The aim is to find an architecture for each of your chosen datasets which can deliver the best classification performance.
