Machine Learning for BeginnersTraining

by Anja Neumann

Wednesday May 31, 2023, 1:00 PM → 4:00 PM Europe/Berlin

online (Data Science Center ScaDS.AI Dresden/Leipzig)

Machine Learning can be used to identify underlying relationships in data - "the algorithm learns from the data". These relationships can be used to make predictions. In this training, the basic procedure of Machine Learning is explained using the example of a linear regression. In particular getting an overview of the data, selecting suitable features and feeding the data into the algorithm in order to be able to make predictions.

---

Agenda

• Motivation and theoretical basics on Machine Learning and trainings goals (10%)
• Interactive hands-on tutorial covering insights on the data, feature selection and applying a linear regression model (90%)

Handouts

The following documents (slides, sample applications) will be provided to the participants:

• PDF of the slides
• CSV file with Spotify data used for the analysis
• Jupyter Notebooks with tasks and solutions

Prerequisites

• Basic knowledge of Python in version 3.x
• Basic knowledge on how to use Jupyter Notebooks
• Basic knowledge of the Python packages NumPy and Pandas recommended
• Laptop with internet access - equipment can be provided on site if required (please enquire as numbers are limited)

Learning Outcomes: After the training, participants will have basic knowledge of Machine Learning approaches and be able to use a regression model to predict values.

Course language: German

Target group Anyone regularly working with data, some programming experience in Python and an interest in the application of Machine Learning.