IEMS 301: Introduction to Statistical Learning VIEW ALL COURSE TIMES AND SESSIONS Prerequisites A prior course in statistics at the level of IEMS 304; A course in matrix analysis; Proficiency in ...

Specialization: Intro to Statistical Learning Instructor: Osita Onyejeweke, Assistant ProfessorPrior knowledge needed: Intro Statistics and Foundational MathLearning Outcomes Understand the advantages ...

An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

Introduction to Statistics This course is the starting point for learning about statistical analysis in clinical and public health research. Attendees will learn the key concepts from statisticians ...

This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...