Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
Classification (two-class)
8 tutorials
How to Measure the Performance of a Machine Learning Classifier with Python and Scikit-Learn?
Using confusion matrix and error metrics for measuring classification performance in machine learning with Python.
Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud
This article describes multivariate anomaly detection in the example of credit card fraud using Random Isolation Forests in Python
Image Classification with Convolutional Neural Networks - Classifying Cats and Dogs in Python
Learn about image classification with deep learning and develop a convolutional neural network that distinguishes between cats and dogs!
Customer Churn Prediction - Understanding Models with Feature Permutation Importance using Python
This tutorial shows how to build a customer churn prediction model in telecommunications. We will use Python and measure feature importance.
Tuning Model Hyperparameters with Grid Search at the Example of Training a Random Forest Classifier in Python
Learn how to tune the model hyperparameters of a Random Forest that predicts the survival of Titanic passengers using grid search in Python.
Classifying Purchase Intention of Online Shoppers with Python
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
Flight Delay Prediction using Azure Machine Learning
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.