This category includes data science tutorials.
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 tutorial to Python errors for beginners. Learn their types and how to fix them with general steps.
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.
with a practical online course
lectures + projects
based on real-world datasets