Data Science
This is a beginner’s guide to gradient boosting in machine learning.
Learn what it is and how to improve its performance with regularization.
This is a practical tutorial to ARIMA models in Python.
Learn how to make time series predictions with an example step-by-step.
This is a quick tutorial for Streamlit Python.
Learn how to create web apps with popular elements with an example.
This is a practical tutorial to AutoML Python.
Learn how to automate your machine learning process with free and popular tools.
This is a tutorial with a practical example to create Python interactive dashboards.
Learn how to develop web apps with plotly Dash quickly.
This is a beginners’ guide to explainable machine learning with Python.
Learn how to interpret using an XGBoost model example.
This is the ultimate guide to data cleaning in Python.
Learn practical techniques on how to clean your data efficiently.
with a practical online course
lectures + projects
based on real-world datasets