Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python
Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine … Read more
Multivariate Models
Multivariate models are mathematical models that involve multiple variables or factors. They are used to describe and analyze the relationships between different variables, and to make predictions or inferences based on these relationships. Multivariate models are commonly used in many fields, including statistics, economics, finance, and engineering, to study complex systems and phenomena. Multivariate models can provide valuable insights and predictions, but they can also be complex and difficult to interpret. It is important to carefully select and validate the appropriate model, and to consider the limitations and assumptions of the model when interpreting the results.
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients … Read more
Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Perfecting your machine learning model’s hyperparameters can often feel like hunting for a proverbial needle in a haystack. But with … Read more
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more
Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud
Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud … Read more
Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working … Read more
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
Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python
Regression models based on recurrent neural networks (RNN) can recognize patterns in time series data, making them an exciting technology … Read more
Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python
Many time forecasting problems can be solved by predicting just one step into the future. However, some problems require a … Read more