Introduction

Machine learning model lifecycle

Problem statement in data science

Machine learning model quality estimation

Practical testing of machine learning models

Case study: demand forecasting

Case study: product recommender system

Case study: sentiment analysis

Case study: anomaly detection

Data science project management

Data science team management

Case study: churn prediction

ML-based service development

Common mistakes in machine learning projects

Final Exam