There are no reviews yet. Be the first to send feedback to the community and the maintainers!
ML-intro-with-Python
This repository offers a hands-on guide to machine learning with Python, featuring a Jupyter notebook on data processing, regression techniques, evaluation, and optimization. It's suitable for learners at all levels and sets the stage for future expansion into broader machine learning topics.Python_Introduction
An Introduction to Python, starting from 0!multilang_keyBERT
A simple wrapper for KeyBERT packagebasic_python_visualization
Basics of visualization with Pythondatabase_mapping
Mapping some of most famous Academic databesesIntroduction-to-XAI
This repository provides a range of practical examples and educational resources for exploring the field of Explainable AI (XAI). You'll find examples using tools like LIME and SHAP to interpret machine learning model predictions, making the decision-making processes of complex algorithms more transparent and accessibleData-Quality-Issues
Theory and Python code to understand Imbalanced and missing data and how to deal with them.word2vec_introduction
An introduction to word2vec algorithm from absolute 0!Love Open Source and this site? Check out how you can help us