Intro to Machine Learning with Python
Notebooks and exercises for the ML fundamentals course.
Materials
Teaching materials and code repositories.
Introdution to Python
Learning materials for the Python programming language, including notebooks and exercises.
Introduciton to eXplainable AI
This repository provides a range of practical examples and educational resources for exploring the field of Explainable AI (XAI)..
Introduction to Word embeddings and word2vec
Learn the theory and practice of word embeddings and the word2vec algorithm with this collection of notebooks and exercises.
Understanding Data Quality Issues in Machine Learning
About theory and Python code to understand Imbalanced and missing data and how to deal with them.
An overview of sentiment analysis in Python
A repository for learning sentiment analysis with Python, blending theory and code. It introduces sentiment analysis fundamentals, NLP techniques, and machine learning algorithms for sentiment detection in texts.
Understanding the main data collection methods for machine learning
This repository provides an overview of the main data collection methods for machine learning, including web scraping, APIs, crawling, and more.
Basics of data visualization in Python
This repository provides an introduction to data visualization in Python, covering libraries such as Matplotlib and Seaborn, and includes practical examples and exercises to help you create effective visualizations for your data analysis projects.