Machine Learning on AWS SageMaker for Beginners
Focused View
3:28:03
6 View
01-introduction to course.mp4
03:00
02-001 what is cloud.mp4
03:35
03-002 what is cloud computing.mp4
06:58
04-003 cloud computing services.mp4
12:23
05-004 why cloud computing.mp4
03:53
06-005 what is machine learning.mp4
02:14
07-006 traditional approach vs.mp4
03:01
08-007 machine learning workflow.mp4
03:04
09-008 applications of ml.mp4
02:02
10-009 supervised learning.mp4
12:25
11-010 unsupervised learning.mp4
03:51
12-011 reinforcement learning.mp4
03:25
13-lab 001 create aws account.mp4
03:57
14-lab 002 web console overview.mp4
02:32
15-lab 003 create a notebook instance.mp4
06:51
16-lab 004 spinning jupyter notebook in sagemaker.mp4
02:59
17-lab 005 upload dataset to s3 bucket.mp4
03:13
18-lab 006 import datasets from s3 to jupyter notebook in sagemake.mp4
03:35
19-lab 08 titanic problem statement.mp4
02:24
20-lab 09 importing dataset to jupyter notebook.mp4
03:52
21-lab 10 exploratory data analysis.mp4
06:45
22-lab 11a data cleaning part i.mp4
06:33
23-lab 11b data cleaning part ii.mp4
07:04
24-lab 12 spliting dataset into train and test data.mp4
02:32
25-lab 13 training model in sagemaker.mp4
06:45
26-lab 14 deploying model.mp4
04:59
27-lab 15 survival prediction and deleting endpoints.mp4
03:34
28-lab 016 problem statement and data import.mp4
06:08
29-lab 017 exploratory data analysis.mp4
05:12
30-lab 018a univariate and multivariate analysis.mp4
08:55
31-lab 018b univariate and multivariate analysis.mp4
05:34
32-lab 019 splitting dataset into train and test.mp4
02:18
33-lab 20 model training job in sagemaker.mp4
03:00
34-lab 21 price prediction and deleting the endpoints.mp4
03:16
35-lab 22 problem statement and data import.mp4
05:28
36-lab 23 exploratory data analysis.mp4
04:40
37-lab 24 data modelling.mp4
02:45
38-lab 25 accessing pca model attributes.mp4
06:35
39-lab 26 model deployment and conclusion analysis.mp4
04:26
40-lab 27 data modelling k means algorithm.mp4
02:55
41-lab 28 accessing k means model attributes.mp4
05:05
42-lab 29 conclusion anddeleting endpoints.mp4
00:55
43-lab 30 problem statement and environment setup.mp4
02:26
44-lab 31 download and import the dataset.mp4
02:05
45-lab 32 exploring the trainin dataset.mp4
01:26
46-lab 33 xgboost and training dataset transformation.mp4
02:06
47-lab 34 training the model.mp4
03:14
48-lab 35 model deployment and validation.mp4
02:08
More details
User Reviews
Rating
average 0
Focused display
Category
SkillShare
View courses SkillShareSkillshare is an online learning community based in the United States for people who want to learn from educational videos. The courses, which are not accredited, are only available through paid subscription.
- language english
- Training sessions 48
- duration 3:28:03
- Release Date 2024/03/07
