Machine Learning with Python

Course overview

The training course Machine Learning with Python imparts technical and analytical skills for the development and evaluation of learning models using Python. The content is structured around data preparation, model training, and result interpretation. Python for Machine Learning Utilize Python libraries for data analysis and modeling Use data structures for training and analysis processes Structure code for repeatable model workflows Identify sources of errors in programming and data processes Data Preparation Read and classify data sources Clean, transform, and validate datasets Prepare features and target variables for models Split data into training, testing, and validation sets Model Training Apply machine learning methods using Python Train classification and regression models Adjust model parameters and compare results Recognize overfitting and derive countermeasures Evaluation and Application Evaluate model results using appropriate metrics Interpret predictions professionally Integrate models into simple workflows Document analysis and modeling steps comprehensibly The training enables the development, application, and evaluation of machine learning models using Python.

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2026-11-07T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2027-01-30T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2026-11-07T23:00:00.000Z · Bielefeld · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2027-01-30T23:00:00.000Z · Bielefeld · Hybrid Learning
• 2026-08-16T22:00:00.000Z · 2026-11-07T23:00:00.000Z · Bonn · Hybrid Learning