AI Model Selection and Development

Use Case Alignment:

• Identify and select AI models based on their alignment with the specific use cases and objectives of the project.

Algorithm Selection:

• Choose appropriate machine learning or deep learning algorithms based on the nature of the problem and the available data.

Data Preparation:

• Prepare the data for model training, including encoding, normalization, and addressing any missing values or outliers.