Osita Onyejekwe

My primary interests are in multivariate regression models in conjunction with machine learning models to estimate weather patterns, glacier recession behavior, as well as looking into financial models pertaining to profit gains, losses, and revenue. I am also interested in planetary systems, abiogenesis, philosophy, and theology.

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Resampling, Selection and Splines (Coursera)

"Statistical Learning for Data Science" is an advanced course designed to equip working professionals with the knowledge and skills necessary to excel in the field of data science. Through comprehensive instruction on key topics such as shrink methods, parametric regression analysis, generalized linear models, and general additive models, students [...]

Trees, SVM and Unsupervised Learning (Coursera)

"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks, decision trees, and XG boost. Through in-depth instruction and practical hands-on experience, you will learn how to build powerful predictive models using these techniques and understand the advantages [...]