Cluster Analysis with k-Means and Python

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Cluster analysis is an unsupervised machine learning technique that groups similar objects into clusters and separates them from different ones. In unsupervised learning, the model recognizes patterns and associations from the data without requiring a target variable. This technique is beneficial for distinguishing objects whose similarities and differences are unknown. … Read more

Measuring Regression Errors with Python

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Evaluating performance is a crucial step in developing regression models. Because regression models return continuous outputs, such models allow for different gradations of right or wrong. Therefore, we measure the deviation between predictions and actual values in numerical terms. However, a universal metric to measure the performance of regression models … Read more

Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python

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We can solve many time forecasting problems by looking at a single step into the future. However, some forecasting problems require us to understand how a signal will develop over a more extended period. Such cases require a multi-step time series forecasting approach that generates a forecast for multiple time … Read more