Python
Discover how to turn data into smart, actionable insights using Python. In this hands-on course from Geo-ICT, you'll learn how to build, train, and evaluate machine learning models, and apply them to real-world geodata challenges using the Anaconda Python distribution.
Machine learning is changing the way we understand and use data. From self-driving cars and recommendation systems to climate forecasting and urban planning, machine learning is at the heart of innovation. It’s a branch of artificial intelligence (AI) that helps computers recognize patterns, learn from data, and make decisions—without needing to be programmed step-by-step for every task.
At Geo-ICT, we focus on using machine learning to unlock insights in geodata. Whether you’re analyzing satellite images, tracking environmental changes, or predicting natural disasters, machine learning helps make sense of complex spatial data. These techniques allow us to solve real problems and make informed decisions based on patterns in large datasets.
In this course, you’ll dive into the fundamentals of machine learning using Python—one of the most popular programming languages in the world. Python’s simplicity and flexibility, along with its powerful libraries, make it the go-to language for machine learning projects. Using tools like Jupyter Notebook, Scikit-learn, and Matplotlib, you’ll learn how to turn data into practical, visual insights that help you better understand and shape the world around you.
Note: Basic knowledge of Python is required. If you’re new to Python, we recommend starting with our Python programming course. Prefer R? Check out our Machine Learning with R course.
You’ll start by learning the essential concepts that form the foundation of machine learning. This includes understanding what supervised and unsupervised learning are, how classification and regression work, and why things like overfitting and underfitting matter. With these concepts in place, you’ll begin training your own models and evaluating how well they perform.
The course focuses on building models using Python’s most popular tools. You’ll get hands-on with Anaconda and Jupyter Notebooks, learn how to prepare and clean datasets using Pandas, and apply machine learning algorithms with Scikit-learn. You’ll also visualize your data and results using Matplotlib and Seaborn, making it easier to understand what’s happening inside your models.
From clustering and dimensionality reduction to decision trees and K-nearest neighbors, you’ll explore the full range of core machine learning techniques. Everything is taught in a practical, step-by-step way, with real examples that are especially relevant for those working with geodata. You’ll also complete a final project that puts all your new skills to the test.
Choosing the right course can make all the difference in how confidently and effectively you use machine learning. Here’s why Geo-ICT’s course stands out:
You’ll begin by installing Anaconda, creating your first Jupyter Notebook, and exploring essential machine learning libraries. You’ll train a simple model on a dataset and visualize your results using Matplotlib.
Dive into supervised learning. You’ll explore classification and regression models, understand what causes overfitting and underfitting, and work with algorithms like K-nearest neighbors (KNN) and decision trees. You’ll also learn how to evaluate your models and improve their performance.
On the final day, you’ll take on new challenges with unsupervised learning. You’ll preprocess and scale your data, apply clustering algorithms, and wrap up with a final project that puts all your skills together in a practical scenario.
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.
