7.3 predicting probability scores [applied machine learning || varada kolhatkar || ubc]

Published 2 years ago • 4.1K plays • Length 10:34

Download video MP4
Download video MP3

Similar videos

11:46

17.3 pca loss [applied machine learning || varada kolhatkar || ubc]
12:38

15.3 hierarchical clustering [applied machine learning || varada kolhatkar || ubc]
17:03

7.2 logistic regression [applied machine learning || varada kolhatkar || ubc]
21:24

16.2 text preprocessing [applied machine learning || varada kolhatkar || ubc]
17:05

3.2 data splitting [applied machine learning || varada kolhatkar || ubc]
1:16:02

applied machine learning | 1 | introduction to the course
16:23

10.1 preprocessing housing price dataset [applied machine learning || varada kolhatkar || ubc]
14:07

why to split dataset in to x and y in machine learning?
5:57

9.2 confusion matrix [applied machine learning || varada kolhatkar || ubc]
8:36

12.2 feature importances non-linear models [applied machine learning || varada kolhatkar || ubc]
19:55

3.4 the fundamental tradeoff of ml [applied machine learning || varada kolhatkar || ubc]
8:11

9.1 classification metrics motivation [applied machine learning || varada kolhatkar || ubc]
6:32

15.1 dbscan motivation [applied machine learning || varada kolhatkar || ubc]
13:30

17.1 dimensionality reduction motivation [applied machine learning || varada kolhatkar || ubc]
6:45

11.1 ensembles: motivation [applied machine learning || varada kolhatkar || ubc]
10:37

2.1 machine learning terminology [applied machine learning || varada kolhatkar || ubc]
11:00

11.2 intro to gradient boosted tree models [applied machine learning || varada kolhatkar || ubc]
15:49

1.0 machine learning introduction [applied machine learning || varada kolhatkar || ubc]
22:37

15.2 dbscan [applied machine learning || varada kolhatkar || ubc]
7:04

12.1 model interpretation motivation [applied machine learning || varada kolhatkar || ubc]

Clip.africa.com - Privacy-policy