I've followed lots of tutorials on Machine Learning but in each of these, they go for a different strategy so it's quite confusing for me. I want to Know that what are the operations involved and what are the correct ordering of these.
AS of now, I think the process and the ordering are ->
- Get Data
- Delete Duplicates
- Find Missing Values and Outliers
- Create New Features
- Deal with missing values and Outliers
- Build a base model
- Find the best features to select
- Try and find different Models
- Select the BEST model
- Hypertuning of the Model
Please Do Provide if something is missing and correct the sequence.