Machine Learning Fun and Easy

This introductory course presents the fundamentals of popular machine learning concepts, including regression, classification, clustering, dimensionality reduction, association rules, and neural networks. It includes examples involving Keras and Python.

Syllabus

Linear Regression - Fun and Easy Machine Learning.
Support Vector Machine (SVM) in 7 minutes - Fun Machine Learning.
Principal Component Analysis (Dimensionality Reduction) - Fun and Easy Machine Learning.
Fun and Easy Machine Learning Course in Keras and Python (Coupon Code in Description).
Artificial Neural Networks - Fun and Easy Machine Learning.
Hierarchical Clustering - Fun and Easy Machine Learning.
Naïve Bayes Classifier - Fun and Easy Machine Learning.
Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning.
Eclat Association Rule Learning - Fun and Easy Machine Learning Tutorial.
K - Nearest Neighbors - KNN Fun and Easy Machine Learning.
Logistic Regression - Fun and Easy Machine Learning.
Convolutional Neural Networks - Fun and Easy Machine Learning.
Recurrent Neural Networks LSTMs and Vanishing & Exploding Gradients - Fun and Easy Machine Learning.