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.

Sort options

Trees, SVM and Unsupervised Learning (Coursera)

May 19th 2025
Trees, SVM and Unsupervised Learning (Coursera)
Course Auditing
Coursera
University of Colorado Boulder
Categories
Data Science
Statistics & Data Analysis
Effort
Intermediate
4 Weeks
5-10 Hours/Week
Languages
English
English
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 [...]
Statistical Learning for Data Science Specialization
Unsupervised Learning
SVM
Trees
Support Vector Machines
Statistics
Regression
Neural Networks
Decision Tree
Random Forest
Coursera Plus
View more details
May 19th 2025
Course Auditing
Coursera
University of Colorado Boulder
Data Science
Statistics & Data Analysis
Intermediate
4 Weeks
5-10 Hours/Week
44.00 EUR/month
English
English

Resampling, Selection and Splines (Coursera)

May 12th 2025
Resampling, Selection and Splines (Coursera)
Course Auditing
Coursera
University of Colorado Boulder
Categories
Statistics & Data Analysis
Data Science
Effort
Intermediate
5-12 Weeks
5-10 Hours/Week
Languages
English
English
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 [...]
Statistical Learning for Data Science Specialization
Resampling Methods
Selection
Splines
Statistics
Data Science
Coursera Plus
View more details
May 12th 2025
Course Auditing
Coursera
University of Colorado Boulder
Statistics & Data Analysis
Data Science
Intermediate
5-12 Weeks
5-10 Hours/Week
45.00 EUR/month
English
English