Machine Learning in Practice
Welcome to the practical side of machine learning! In this tutorial, we delve into real-world applications that show the power and versatility of ML models. From predictive analytics to automated systems, the journey is endless!
1. Fit and Predict
Start by understanding the fit-predict cycle. This foundational concept is essential in building and testing models. 🐸
2. Model Evaluation
Without proper evaluation, a model's potential cannot be realized. Learn about accuracy, precision, recall, and how they guide model improvements.
3. Fine-Tuning Hyperparameters
Hyperparameter tuning can significantly improve a model's performance. Discover the art and science of finding the best settings.