Image Classification with Convolutional Neural Networks – Classifying Cats and Dogs in Python
This tutorial shows how to use Convolutional Neural Networks (CNNs) with Python for image classification. CNNs belong to the field … Read more
Two-Label Classification
Two-label classification is a type of machine learning problem in which the goal is to predict which of two classes a given data point belongs to. This is a type of binary classification, which is a common and fundamental problem in machine learning. In a two-label classification problem, the data points are typically represented as a set of feature vectors, and the goal is to learn a model that can accurately predict the class label for any new data point based on its feature vector. This can be done using a variety of different algorithms, such as support vector machines or decision trees.
Customer Churn Prediction – Understanding Models with Feature Permutation Importance using Python
Customer retention is a prime objective for service companies, and understanding the patterns that lead to customer churn can be … Read more