Logical Process

Random Picks

• Overfitting: Overfitting is a common problem in machine learning where a model is trained too well on the training data and starts to memorize it instead of learning the underlying patterns. This results in a model that performs well on the training dat ... Read More >>
• Shape: In Data Science, shape refers to the dimensions of a dataset, represented as a tuple of integers indicating the size of the dataset along each dimension. The shape of a dataset is important because it determines how the data can be manipula ... Read More >>
• Random Forest: Random Forest is a machine learning algorithm that is used for classification, regression and other tasks. It is an ensemble learning method that combines multiple decision trees to create a forest. Each decision tree is built using a rando ... Read More >>