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Introduction In the first part, we explored what a classification model is, using logistic regression as an example, along with the confusion matrix and different performance evaluation methods. In this article, we'll dive into two additional classif...

In machine learning, selecting the right model and tuning its hyperparameters is a critical step toward achieving optimal performance. Several techniques exist to assist in this process, ranging from exhaustive searches like GridSearchCV to more rand...

I remember first starting out as a data scientist and manually changing hyper-parameters for hours. It was frustrating. It was time-consuming. Sometimes I would change the model all-together. That was until I started using GridSearchCV. What is GridS...

A critical phase in machine learning practice is hyperparameter tuning(HP). The performance of ML algorithms’ prediction can be significantly impacted by HP tuning. An ML algorithm’s HPs are often configured through a process of trial and error. It c...
