Cluster Analysis with k-Means in Python

clustering python machine learning k-mean

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

measuring performance regression

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

adjusting time series intervals python

Many time forecasting problems can be solved by predicting just one step into the future. However, some problems require a forecast for an extended period of time, which calls for a multi-step time series forecasting approach. This approach involves modeling the distribution of future values of a signal over a … Read more