Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python
By using machine learning and Python, businesses can predict equipment failures before they happen and optimize their maintenance cycles.
Classification (multi-class)
4 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.
Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
This article predicts crime types in San Francisco with the XGboost classifier in Python and displays them on a crime map of SF
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
This article deals with sentiment analysis and shows how to build a sentiment classifier using logistic regression and naive Bayes in Python.