Category: Data Science

• February 16, 2024

  The More Complex the Model, the Worse the Prediction: Overfitting in Machine Learning

  

  The post discusses the common mistake of creating overly complex machine learning models that lead to overfitting. It explains the delicate balance of model complexity, the problem of overfitting, and strategies to combat it, such as simplifying the model, regularization, cross-validation, and pruning trees. It also provides examples of applying these techniques. Ultimately, it emphasizes…
• September 15, 2023

  Understanding Neural Networks

  

  The field of data science is vast, and there are many excellent machine learning tools to utilize. If, like myself, you’re fairly new to data science, all of the modeling options can seem overwhelming. But not to worry, the more projects you create, the more models you will use, and the more excited you will…