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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!SPC
multilang_keyBERT
A simple wrapper for KeyBERT packagebasic_python_visualization
Basics of visualization with Pythondatabase_mapping
Mapping some of most famous Academic databesesData-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