Tag: machine-learning

Cross-validation is a crucial technique to bolster your machine learning model's accuracy. It helps ensure your model performs well on unseen data.

Understand the bias-variance tradeoff, a key challenge in machine learning. Finding the right balance leads to more accurate and reliable models.