In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning.
Ofrecido Por


Using R for Regression and Machine Learning in Investment
Universidad de SungkyunkwanAcerca de este Curso
Introductory statistics, introductory financial economics, and R programming
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosQué aprenderás
Understanding the basic common concept of machine learning
Familiarizing with most commonly used methodology, regression
Distinguishing in-sample and out-of-sample results and leading to well-performing models in a real-life
Habilidades que obtendrás
- Investment Management
- Machine Learning
- R Programming
- regression
Introductory statistics, introductory financial economics, and R programming
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Understanding the big picture of the algorithm-driven investment decision-making process using machine learning and review of regression methodology
Regression and beyond
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