Data Science: Logistic Regression in Python

Outline
- What is classification (in the broader context of all ML)? Review
- Linear classifiers in general
- Biological inspiration - neurons and perceptron
- Logistic regression schematic
- Feed-forward mechanism, probabilistic interpretation
- Cross-entropy error function
- Maximum-likelihood
- Gradient descent
- Practical problems:regularizaion, donut problem, XOR problem