A Machine Learning project consists of which steps?

Question

Can anyone tell me the steps of the Machine Learning project?

Answer 1

A Machine Learning project consists of the following steps:

1. Strategy: matching the problem with the solution

2. Dataset preparation and preprocessing

• Data collection

• Data visualization

• Labeling

• Data selection

• Data preprocessing –Formatting, cleaning, anonymization, sampling of data

• Data transformation –Scaling, Decomposition, Aggregation

3. Dataset splitting – Train dataset, Test dataset, the Validation dataset

4. Modeling

• Model training

• Model Evaluation and Testing

5. Model Deployment

If you want to learn and implement Machine learning projects, then register for this Machine Learning Course by Intellipaat which has experienced instructors, best curriculum, and projects.

Also, watch this video on Machine Learning project: