Before we proceed, refer to the dataset in the following screenshot to understand how every sequence of the data looks:

Firstly, we need to check for the existence of any non-numeric features in the data. We need to load the data into the neural network for training, and it should be in a format that the neural network can understand. We have a sequenced dataset and it appears that non-numeric values are not present. All 37 features are numeric. If you look at the range of feature data, it is close to a normalized format.