Eight ways to perform feature selection with scikit-learn
Explore how to apply feature selection techniques using Python. This is an important step in finding the most predictive features for machine learning.
Understanding Explainable AI (XAI) for classification, regression and clustering with Python
We will explore the concepts of XAI in the context of classification, regression, and clustering models, and understand how these techniques can enhance the interpretability and trustworthiness of AI and ML systems.
Using PyPDF2 to score keywords in a job application
Count essential and desirable keywords to score, sift and rank job applications. A model like this can bring a better quantitative assessment, whereas a human reviewer can bring a better qualitative assessment. Both are valuable.
How to create animated charts with Python and Plotly
Learn how to build animated bar, line and scatter charts alongside animated maps.
How to build and visualise a Monte Carlo simulation with Python and Plotly
Learn how to construct a Monte Carlo simulation with Python and plot the results using Plotly.
