Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
1 Department of Mathematics and Computer Science, Faculty of Sciences, University of Ngaoundéré, Ngaoundéré, Cameroon. 2 Department of Mathematics and Computer Science, ENSAI, University of Ngaoundéré ...
Abstract: This paper introduces a novel kernel regression framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated by ...
Spontaneous regression of cancer is an uncommon event observed most often in neuroblastoma, leukemia, lung cancer, and melanoma. The underlying mechanisms are not fully understood; however, infections ...
This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
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 ...
Predicting Insurance Claims with Machine Learning 🚗💡 Built a model to identify the single most predictive feature for insurance claims using Python, Pandas, and Scikit-Learn. Analyzed customer data, ...
Citing a portion of a news article, conservative political commentator Dinesh D’Souza argued in an Instagram post that people who accept presidential pardons admit guilt. Being pardoned doesn’t equal ...
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