Introduction to Machine Learning
A comprehensive collection of 90 machine learning lecture videos covering Python, scikit-learn, algorithms, and model evaluation techniques.
A comprehensive collection of 90 machine learning lecture videos covering Python, scikit-learn, algorithms, and model evaluation techniques.
An introductory chapter on machine learning and deep learning, covering core concepts, categories, and the shift from traditional programming.
An introduction to Naive Bayes classifiers, focusing on their theory and application in text classification tasks like spam filtering.
An overview of predictive modeling, supervised machine learning, and pattern classification concepts, workflows, and applications.