What are the steps involved in training a machine learning model?

What are the steps involved in training a machine learning model?

Training a machine learning model typically involves several key steps: data collection, data preprocessing, model selection, training, evaluation, and tuning.

Can you explain data preprocessing in more detail?

Sure! Data preprocessing includes cleaning the data, handling missing values, normalizing or scaling features, and encoding categorical variables.

What is the importance of model evaluation?

Model evaluation is crucial as it helps determine how well the model performs on unseen data, ensuring it generalizes well.

What techniques can I use for model tuning?

Common techniques for model tuning include grid search, random search, and using cross-validation to find the best hyperparameters.