Data Preprocessing Ideas
I am working with a dataset that is relatively clean, it has no missing values and most of the attributes are numeric with one being a date-time stamp of every 30 mins. I need to carry out some pre-processing techniques on it and have the below ideas but am also looking for other suggestions. Thanks.
- Rename some of the numeric attributes so they are easier to identify
- Set roles
Ultimately I will build a model to predict the temperature using regression models and the date-time stamp. This will be trained and then tested.