Model Evaluation Techniques 📶
Welcome to week 7 of the Intro to data science course! Last week, we started our journey of machine learning and its techniques. We started with understanding what ML is and its application in today's world. We went further to explore supervivised learning by looking to classification and regression. Finally, we briefly explored unsupervised learning.
This week, we'll be looking into Model Evaluation Techniques by understanding their meaning and importance in data science. Next, we'll look at different model evaluation techniques. Finally, we'll explore how to select the best model.
Learning Outcomes
After this week, you will be able to:
- Explain model evaluation and why we need it.
- Describe different model evaluation techniques.
- Distinguish between overfitting and underfitting.
- Highlight the factors to consider in selecting the best model.