Slides	Description
pdf	01 Introduction
pdf	02 Supervised Learning
pdf	03 Binary Classification
pdf	04 Regression
pdf	05 Model Selection
pdf	06 Preprocessing
pdf	07 Linear Regression
pdf	08 Gradient Descent
pdf	09 Logistic Regression
pdf	10 Ensembles
pdf	11 Model Complexity
pdf	12 Feature Selection
pdf	13 Text Preprocessing
pdf	14 Text Classification
pdf	15 Neural Networks
pdf	16 Keras
pdf	17 Convolutional Neural Networks
pdf	18 Training Neural Networks
pdf	19 Overfitting in Neural Networks
pdf	20 Explainable Artificial Intelligence (XAI)
pdf	21 Bias in Machine Learning
pdf	22 Data Ethics
pdf	23 Where Next?