How to build XGBoost models in Python
With a step-by-step example
This is a practical guide to XGBoost in Python.
Learn how to build your first XGBoost model with this step-by-step tutorial.
Data Science Application
This category includes data science applications.
How to build XGBoost models in Python
How to build ARIMA models in Python for time series prediction
With an example, step-by-step
This is a practical tutorial to ARIMA models in Python.
Learn how to make time series predictions with an example step-by-step.
How to create Python Interactive Dashboards with Plotly Dash: 6 steps Tutorial
Converting your data visualizations to interactive dashboards
This is a tutorial with a practical example to create Python interactive dashboards.
Learn how to develop web apps with plotly Dash quickly.
How to use Explainable Machine Learning with Python
Interpret with Permutation Feature Importance, PDP, SHAP, LIME
This is a beginners’ guide to explainable machine learning with Python.
Learn how to interpret using an XGBoost model example.
Data Cleaning Techniques in Python: the Ultimate Guide
What and how to clean, with examples
This is the ultimate guide to data cleaning in Python.
Learn practical techniques on how to clean your data efficiently.
How to qualify as data scientists: Skills needed in 2022
Based on real job postings analysis
This is a practical guide to the qualifications and skills needed to become a data scientist.
Discover based on real job postings analysis.
How to handle Imbalanced Data in machine learning classification
With an example in Python
This is a practical guide to imbalanced data in machine learning classification.
Learn techniques and get better predictions in Python.
