Reels · 18 of 40
57 s
Reel · 57 s
Linear regression explained: the line that measured the heat in Chile, and what breaks it
In 57 seconds and narrated: on Santiago summers no model had seen, the line missed by 1.86 °C and the random forest by 3.76 °C; the yearly max rises 0.33 °C per decade in Temuco and falls in Valparaíso; unscaled, gradient descent ends with an error of 9.8×10¹¹ °C; with 3,000 rows, the dew point comes out with the minority sign in 46% of samples; and with 5% of rows carrying a misplaced decimal point, least squares rises to 7.89 °C while Huber stays at 1.69 °C. Muted by default: turn the sound on in the controls.
- Length
- 57 s
- Published
This reel sums up Linear regression explained: the line that measured the heat in Chile, and what breaks it, where the method, the tables and what did not work are.