Machine Learning Specialization Training in Germany

  • Learn via: Classroom
  • Duration: 3 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

It is impossible to say "This model will work best for this kind of data". If we can say that, we would not need people to try and build models, we could automate the process. So how can we choose optimal model for our problem and how can we make that process faster ? How can we make our training so that when we ship our model and it is live, it will be generalizable ?

After looking at those subjects we will continue with using our trained model to understand our data more and then build a stronger model with those insights and then use a new model to understand our data more. After iterating over this process couple of times we will have strong insight into our data and we will have a better model. Also, we will see which prediction of our model we should trust more and will investigate powerful tool that allows us to go beyond prediction and make simulation using our model and answer how changing our input will affect our outputs (this is very valuable in cases like you want to have more customer coming to your business and want to reduce the number of customers leaving etc...)

This course will give you the intuitive understanding of the concepts without memorization. This course combines both theory and practice to give students deep understanding of the subject and hands-on experience via coding.

Students must have experience in coding in Python language and are expected to have knowledge about Pandas and Numpy Libraries. If they don't, taking python coding and python for data science lectures before this course is recommended.

Individuals comfortable with basic programming and machine learning looking to master machine-learning techniques. 

Practical Machine Learning 

  • What is machine learning ?
  • Regression and Classification
  • Regression and Classification using Decision Trees
  • What is the cons of using Decision Trees ?
  • Understanding Bagging
  • Ensemble methods - Random errors
  • Understanding Random Forests
  • Why do we need train-validation-test set instead of just train set?
  • No. Cross validation and random sampling are not always a good idea ?
  • Careful selection of Validation set
  • What is R^2 and where to use this ?
  • Logic behind Baseline Model
  • Do not use all of your data while hyperparameter tuning. How to take subsample, and how to understand it is representative ?
  • Profiling - How to detect which parts of your code are slow

Model Driven EDA

  • Model is not just something that just makes predictions - What is model Driven EDA.
  • Prediction confidence using standard deviations
  • Feature importance while keeping interactions between features active -
  • Permutation Feature Importance
  • Okay, this is our prediction, but how can we change the outcome?
  • Simulating different scenarios using Partial Dependence
  • Extrapolation problem
  • How to reduce extrapolation problem ?
  • How can we understand we split validation set right ?


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
04 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
07 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
09 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
04 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
07 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
09 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
12 Februar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
15 Februar 2025
Berlin, Hamburg, Münih
3 Days
Machine Learning Specialization Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
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