Classical machine learning algorithms

Program Overview

This program provides an introduction to machine learning and its business applications. It covers clustering and classification methods, regression and time series methods, and the use of Scikit-learn library. The program is taught by experts in the field and includes a case study on using time series methods to solve a business problem.

Program Outline

Outline:

• Module 1: Clustering methods and classification
• Introduction to machine learning and its business applications
• Concepts: Scikit-learn library, clustering and classification methods
• Module 2: Regression Methods and Time Series
• Regression and time series methods
• Concepts: Regression, time series and data modeling
• Module 3: Business applications of time series
• Case study on using time series methods to solve a business problem
• Concepts: Data modeling and time series using Scikit-learn

Teaching:

• Trainers/Teachers:
• Hugo Hadjur, Assistant Professor in IA & Data Science, PhD student at ENS Lyon and aivancity
• Levente Szabados, Visiting professor in Data Science, Lecturer at Frankfurt school of finance & management