#data preprocessing - Denis Kiprono

Splitting datasets into training, validation, and test sets for effective machine learning workflows.

tutorials Dec 16, 2024

Why Split a Dataset into Training, Validation, and Test Sets?

Learn the purpose of dividing datasets into training, validation, and test sets, and see practical examples of how to implement this in TensorFlow.js for better machine learning models.

2 minutes

The Role of Data Preprocessing in TensorFlow.js Models

Discover the importance of data preprocessing in building effective TensorFlow.js models. Learn common techniques like normalization, encoding, and handling missing values to optimize model performance.

2 minutes

The Significance of Feature Engineering in Model Development

Understand the concept of feature engineering and its importance in improving model performance. Explore techniques like feature scaling, interaction terms, and domain-specific feature creation.

2 minutes