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.

Coursera

University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Jun 29th 2026

4 Weeks

Statistics Regression Neural Networks

Coursera

University of Colorado Boulder

Resampling, Selection and Splines (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced statistical learning with our comprehensive course 'Resampling, Selection and Splines'. This expert-led program is designed for professionals aiming to deepen their understanding and application of key concepts in data science. Learn how to leverage resampling methods, optimize model fitting procedures, and explore non-linear models like splines to improve prediction accuracy and interpretability.

Jun 22nd 2026

5-12 Weeks

Statistics Selection Data Science

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