Machine learning with Python

lecturer: Jakab Buda (ELTE TáTK & TK MILAB)

date (8*90 min): 

  • 18/02/2022 - 2 p.m
  • 25/02/2022 - 2 p.m
  • 04/03/2022 - 2 p.m
  • 18/03/2022 - 2 p.m
  • 25/03/2022 - 2 p.m
  • 01/04/2022 - 2 p.m
  • 08/04/2022 - 2 p.m
  • 22/04/2022 - 2 p.m

location: ONLINE

ZOOM:  We will send the Zoom link in e-mail. 

language: English

max. 20 person

1.Introduction

  • usage
  • different methods
  • steps of ML projects
  • cost function
  • parameters, hyperparameters
  • performance metrics

2. Data and project ideas

3. Data preparation

4. regular ML methods I - regression

5. regular ML methods I - classification

  • logistic / multinomial regression; SVM; Decision tree

6.  ensemble methods

  • Stacking
  • Random Forest
  • XGBoost

7. Neural nets I – structure

8. Neural nets II – tuning