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How to Use the Python Statistics Module

The Python statistics module is a built-in module for performing simple statistical calculations. Since it's part of the standard Python library, it's available in every Python installation. To access ...
IEEE

Evaluating Machine Learning Models for Crop Yield Prediction

Abstract: Predicting crop yields accurately is essential to improve agricultural planning, maximize resource allocation, and ensure food security. Predictive models can help farmers and policymakers ...
Frontiers

Pre-sleep heart rate variability predicts chronic insomnia and measures of sleep continuity in national-level athletes

Objective: This study aimed to investigate whether pre-sleep heart rate variability (HRV) could predict chronic insomnia (CI) and sleep quality in male national-level team-based athletes. Methods: A ...
GamesRadar+

Team Cherry didn't mean to send players to Silksong jail: YouTube content ID claims are "likely either a technical error or someone doing something illegal," composer says

Platforming Games Hollow Knight: Silksong devs never read YouTube or Reddit comments, but they're aware a community of increasingly desperate Silkposters is out there: "Feels like we’re going to ruin ...
IEEE

Comparative Analysis of Flood Prediction Using Linear Regression

Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
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Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Scientific Research Publishing

Hodson, T. (2022) Root Mean Square Error (RMSE) or Mean Absolute Error (MAE): When to Use Them or Not 1U.S. Geological Survey Central Midwest Water Science Center.

ABSTRACT: This study evaluates the reliability of North American Multi-Model Ensemble (NMME) models in forecasting monthly rainfall over the Kafue River Basin using a well-selected multi-model ...
Scientific Research Publishing

Efron, B. (1991) Regression Percentiles Using Asymmetric Squared Error Loss.

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...