TY  - THES
U1  - Master Thesis
A1  - Isakova, Olga
T1  - Application of machine learning algorithms for classification and regression problems for mobile game monetization
N2  - Many companies use machine learning techniques to support decision-making and automate business processes by learning from the data that they have. In this thesis we investigate the theory behind the most widely used in practice machine learning algorithms for solving classification and regression problems.
In particular, the following algorithms were chosen for the classification problem: Logistic Regression, Decision Trees, Random Forest, Support Vector Machine (SVM), Learning Vector Quantization (LVQ). As for the regression problem, Decision Trees, Random Forest and Gradient Boosted Tree were used. We then apply those algorithms to real company data and compare their performances and results.
KW  - Maschinelles Lernen
Y2  - 2019
ER  -