Course Materials

This page is the starter hub for lecture notes, code demos, homework links, and language-specific resources.

Weekly Modules (Starter)

Week	Topic	Page
1	Introduction	Add weeks/week-01.qmd
2	Linear regression	Add weeks/week-02.qmd
3	Ridge and lasso	Add weeks/week-03.qmd

R and Python Example Chunks

These examples are intentionally simple and meant to verify your website can display both languages cleanly.

R Example

set.seed(432)
x <- rnorm(10)
y <- 1 + 2 * x + rnorm(10, sd = 0.3)
fit <- lm(y ~ x)
summary(fit)$coefficients

Python Example

import numpy as np
from sklearn.linear_model import LinearRegression

rng = np.random.default_rng(432)
x = rng.normal(size=(10, 1))
y = 1 + 2 * x[:, 0] + rng.normal(scale=0.3, size=10)
model = LinearRegression().fit(x, y)
{"intercept": model.intercept_, "slope": model.coef_[0]}

Add New Week Content

1. Create a new page, for example weeks/week-04.qmd.
2. Add it to the navigation in _quarto.yml (or keep this list as the primary index).
3. Commit and push; GitHub Actions will rebuild and publish.