Deep Dive into Linear Regression with Keras and TensorFlow

Advanced Linear Regression Techniques

In this detailed exploration, we shift our focus to advanced linear regression techniques, leveraging the power of Keras and TensorFlow. This article builds on the foundational knowledge of linear regression discussed in Basics of Linear Regression: Theory and Application, introducing more complex models such as multiple and polynomial regression, along with regularization methods to enhance … Read more

Hyperparameter Mastery: Regularization and Optimization Strategies in Machine Learning

Hyperparameter Optimization Process

In the second installment of our series, we delve into the world of regularization techniques, a critical aspect of machine learning that addresses the challenge of overfitting. This article builds on the foundational knowledge established in our first part, where we explored the essentials of hyperparameters and their tuning. Here, we focus on the practical … Read more