Abstract: This exploratory study evaluates Gaussian blur as a baseline smoothing technique to reduce noise in digital plant images. Using Python with OpenCV, NumPy, Matplotlib, and scikit-image, we ...

Predictive models turn historical data into reliable forecasts that support accurate planning across industries. Different modeling types solve different problems, from forecasting numbers to ...

Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and business, from weather patterns and heartbeats to stock prices and production ...

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model ...

Three models for yearly time series predictions were built: autoregressive integrated moving average (ARIMA), simple exponential smoothing (SES), and Holt's double expansional smoothing (HDES) models.

Learn more about Alteryx, a business intelligence tool for making data preparation and analysis more efficient. The Alteryx platform is an easy-to-use and scalable data analytics and management ...