Execution Statistics

Execution Statistics#

This page shows the execution status of all notebooks in the book.

Document

Modified

Method

Run Time (s)

Status

00-introduction/introduction

2026-02-17 12:38

auto

4.54

01-numpy/numpy

2026-02-17 12:39

auto

10.07

02-pandas-intro/pandas-intro

2026-02-17 12:39

auto

2.75

03-intermediate-pandas/intermediate-pandas

2026-02-17 12:39

auto

2.79

04-feature-engineering/feature-engineering

2026-02-17 12:39

auto

3.5

05-dimensionality-reduction/dimensionality-reduction

2026-02-17 12:39

auto

30.66

06-linear-regression/linear-regression

2026-02-17 12:39

auto

4.07

07-classification/classification

2026-02-17 12:39

auto

4.4

08-regularization-model-selection/regularization-model-selection

2026-02-17 12:40

auto

11.91

09-nonlinear-methods/neural-networks-hyperparameter-tuning

2026-02-17 12:40

auto

39.62

09-nonlinear-methods/nonlinear-methods

2026-02-17 12:40

auto

10.55

10-ensemble-methods/ensemble-methods

2026-02-17 12:41

auto

26.25

11-clustering/clustering

2026-02-17 12:41

auto

5.52

12-uncertainty-quantification/uncertainty-quantification

2026-02-17 12:42

auto

35.48

13-model-interpretability/model-interpretability

2026-02-17 12:42

auto

21.97

assignments/hw01-numpy

2026-02-17 12:42

auto

5.14

assignments/hw02-pandas-intro

2026-02-17 12:42

auto

5.08

assignments/hw03-intermediate-pandas

2026-02-17 12:42

auto

1.63

assignments/hw04-feature-engineering

2026-02-17 12:42

auto

2.76

assignments/hw05-dimensionality-reduction

2026-02-17 12:42

auto

3.0

assignments/hw06-linear-regression

2026-02-17 12:42

auto

2.6

assignments/hw07-classification

2026-02-17 12:42

auto

2.53

assignments/hw08-regularization

2026-02-17 12:42

auto

2.79

assignments/hw09-nonlinear-methods

2026-02-17 12:42

auto

2.64

assignments/hw10-ensemble-methods

2026-02-17 12:43

auto

11.11

assignments/hw11-clustering

2026-02-17 12:43

auto

2.89

assignments/hw12-uncertainty-quantification

2026-02-17 12:43

auto

4.46

assignments/hw13-model-interpretability

2026-02-17 12:43

auto

3.01

assignments/project

2026-02-17 12:43

auto

0.78

assignments/project-checkin

2026-02-17 12:43

auto

6.23

assignments/project-presentation

2026-02-17 12:43

auto

5.98

assignments/project-proposal

2026-02-17 12:43

auto

5.93

assignments/project-report

2026-02-17 12:43

auto

6.28

optional/databases

2026-02-17 12:43

auto

2.12

optional/deep-learning

2026-02-17 12:43

auto

2.13

optional/llms-for-research

2026-02-17 12:43

auto

1.78

optional/symbolic-regression

2026-02-17 12:43

auto

2.3

participation/participation-01-numpy

2026-02-17 12:43

auto

0.94

participation/participation-02-pandas-intro

2026-02-17 12:43

auto

1.15

participation/participation-03-intermediate-pandas

2026-02-17 12:43

auto

1.19

participation/participation-04-feature-engineering

2026-02-17 12:43

auto

1.99

participation/participation-07-classification

2026-02-17 12:43

auto

0.76

participation/participation-08-regularization

2026-02-17 12:43

auto

2.05