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 ...
A new review published in Artificial Intelligence and Autonomous Systems（AIAS） highlights how artificial intelligence can tackle the pervasive problem of missing traffic data in intelligent ...
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 ...
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 ...
Coping with the endless growth in chip size and complexity requires innovative electronic design automation (EDA) solutions at every stage of the development process. Better algorithms, increased ...
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, ...
1 Department of Health Administration, Kongju National University of Nursing and Health, Kongju, Republic of Korea 2 Institute of Health and Environment of Kongju National University, Kongju, Republic ...
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