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 ...
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 ...
In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...
ABSTRACT: In this paper, a regression method of estimation has been used to derive the mean estimate of the survey variable using simple random sampling without replacement in the presence of ...
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 ...
Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...
1 Department of Statistics, Faculty of Science and Agriculture Technology, Universitas Muhammadiyah Semarang, Semarang, Indonesia 2 Department of Data Sciences, Faculty of Science and Agriculture ...
未分组Neural: Mean Squared Error (MSE): 0.10455876165072131 Root Mean Squared Error (RMSE): 0.32335547258508135 R-squared (R^2): 0.8949083302041475 Evaluating ...
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