Process of building a model.
- Data collection
- Data preprocessing
- Applying statistical analysis in case it is required
- Performing data analysis and visualization for a better understanding of data.
- Deciding which algorithm is suitable based on problem statement and type of data.
- Implementing the model
- Predicting new data with model
- Evaluating model
- Improving model