Python and Machine Learning Course

This course has been held as an online training course since March 2020. Further Information!

You will learn Python in this course and you will also acquire the necessary knowlegde to analyze, visualize and present data by using Python and it modules Numpy, Matplotlib and Pandas. Another topics of this training course will be an introduction into machine learning, focusing both on the underlying theory and Python example implementations. The scikit learn toolkit will also be introduced.
This seminar can be run as an in-house training course as well, e.g. in England, France, Switzerland, Austria, Italy, Netherland, Luxembourg, Belgium, Canada or Germany.

Target Group:
This course is intended for students who have basic python or programming background. The participants will acquire the necessary knowlegde to analyze, visualize and present data by using the Python modules Numpy, Scipy, Matplotlib and Pandas.


The aim of Machine learning consists in enabling computers to learn without being explicitly programmed. Machine learning algorithms learn from example data. "Learn" means in this context the ability to automatically determine patterns and regularities from the learn data.
  • Python Language
    • The Python Philosophy
    • Using the IPython shell and "Python notebook"
    • Fundamentals
    • Conditional Statements
    • Loops
    • Data Structures: Lists, Tuples, Dictionaries, Sets
    • Functions, recursive functions, decorators
    • File Handling
    • Modules and Packages: Using and Creating
    • Object-Oriented Programming (OOP) with Python
  • Data analysis, visualization and presentation
    • Numpy and Scipy
    • Matplotlib
    • Pandas
  • Machine Learning
    • Machine Learning Terminology
    • Introduction into Scikit
    • k-nearest Neighbor Classifier
    • Neural Networks from Scratch in Python
    • Neural Networks with Scikit
    • Introduction Naive Bayes Classifier
    • Naive Bayes Classifier with Scikit
    • Introduction into Text Classification using Naive Bayes
    • Python Implementation of Text Classification


The fees for this ML course per day:

€419 per day (exclusive of VAT)
Toronto, Canada:
$588 per day (exclusive of HST)
Lake Constance, Hemmenhofen, Germany:
€419 per day (exclusive of VAT)
plus € 139 for full board and lodging in 4 star hotel
Hamburg, Munich, Frankfurt, Berlin (Germany):
€447 per day (exclusive of VAT)
Zurich and Geneva (Switzerland):
£447 per day (exclusive of VAT)


The price comprises:
Comprehensive course material

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