Python for Machine Learning

Price
Net €
VAT €

Price
Price on Request

Duration
2 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Machine learning shapes data-based decisions in business, technology, and research. Python is considered a key technology for modern AI applications, combining clarity with high performance.

Key topics

Fundamentals of machine learning with Python.
Data preparation, analysis, and feature engineering.
Supervised and unsupervised learning.
Use of common ML and AI libraries.
Evaluation, optimization, and scaling of models.

Prerequisites
Basic knowledge of Python and a fundamental understanding of data structures and statistics.

Target audience
Professionals from IT, data science, analytics, development, and related fields with an interest in machine learning and AI.

The structured handling of data and algorithms strengthens analytical skills and opens up new perspectives for AI-supported solutions in a dynamic, data-driven environment.

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Course content

Modules

Python
Jupyter notebooks
Numpy
Pandas
Matplotlib
Machine learning concepts
Supervised and unsupervised learning
Classification and regression in machine learning
Evaluation
Machine learning methods in theory and practice
Linear regression
Logistic regression
K-nearest neighbors
Support vector machine
Decision trees
Unsupervised learning methods
Feature engineering and data preparation

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is Python in machine learning?

Python is an easy-to-understand programming language that is often used for machine learning. Many libraries make data analysis and AI models efficient and flexible.

Why is Python used so often for machine learning?

Python is clear, easy to read, and widely used. Powerful open-source tools and a large community accelerate development and problem solving.

Which Python libraries are important for machine learning?

Among the best known are NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. They support data processing, model training, and AI workflows.

What prior knowledge is required for Python machine learning?

A basic understanding of Python and a simple grasp of mathematics and statistics are helpful. Many concepts can also be learned through practical application.

What is machine learning with Python used for?

Areas of application include image recognition, speech processing, forecasting, recommendation systems, and automation in business, technology, and research.

Is Python suitable for beginners in machine learning?