Daily ML Logs

Short, lightly edited logs of what I worked on each day.

Daily Notes: 2025-12-21

Logistic Regression

Daily Notes: 2025-12-20

Bias Variance & Regularization

Daily Notes: 2025-12-14

Project-Based Learning (Sabbatical Day 1)

Daily Notes: 2025-12-13

Brief Interlude on Python

Daily Notes: 2025-12-11

Introduction to Classification (Using scikit-learn)

Daily Notes: 2025-12-10

Adaline implementation

Daily Notes: 2025-12-08

Gradient Descent + Returning to Adaline

Daily Notes: 2025-11-29

Gradient Descent, or how machines learn

Daily Notes: 2025-11-28

Adaline: another single-layer neural network

Daily Notes: 2025-11-27

In which we test whether the perceptron converged and visualize the decision boundaries for this 2-D dataset.

Daily Notes: 2025-11-19

Training a perceptron model on the Iris dataset

Daily Notes: 2025-11-18

Explorations using open-source local models.

Daily Notes: 2025-11-16

Implementing the perceptron as a simple ML classification algorithm without scikit-learn

Daily Notes: 2025-11-15

A Mental Map for ML

Daily Notes: 2025-11-14

Three main types of ML.