Unleash the Power of PyCaret for Marketing Analytics
Language: English | Size:1.84 GB
Genre:eLearning
Files Included :
1 - Welcome to the Course.mp4 (34.76 MB)
MP4
2 - Overview of Sectorspecific Use Cases.mp4 (33.91 MB)
MP4
3 - How can you get the most out of this course.mp4 (27.44 MB)
MP4
4 - What is RFM analysis.mp4 (56.43 MB)
MP4
6 - RFM Example.mp4 (133.45 MB)
MP4
10 - Explore the dataset.mp4 (48.29 MB)
MP4
11 - Step 1 PyCaret Setup Function.mp4 (34.79 MB)
MP4
12 - Step 2 CreateModel Function.mp4 (46.55 MB)
MP4
14 - Step 3 Assign Model.mp4 (21.51 MB)
MP4
15 - Step 4 Plot Model.mp4 (52.88 MB)
MP4
8 - PyCaret Clustering Module Workflow.mp4 (11.18 MB)
MP4
9 - Install PyCaret then Load the Dataset.mp4 (29.18 MB)
MP4
17 - What is Sentiment Analysis.mp4 (39.25 MB)
MP4
19 - Sentiment Analysis with Textblob Financial News Dataset.mp4 (201.27 MB)
MP4
20 - Vader Sentiment Analysis.mp4 (59.96 MB)
MP4
21 - Text 2 Emotion.mp4 (36.99 MB)
MP4
22 - Overview of Anomaly Detection.mp4 (15.77 MB)
MP4
23 - Types of Anomalies.mp4 (39.18 MB)
MP4
24 - Project 1 Social Media Monitoring Example.mp4 (211.89 MB)
MP4
25 - Intuition behind Topic Modelling.mp4 (19.68 MB)
MP4
26 - How LDA works.mp4 (30.37 MB)
MP4
27 - Topic coherence Evaluating the results of topic modelling.mp4 (19.39 MB)
MP4
28 - Load the dataset.mp4 (78.63 MB)
MP4
29 - Why the Setup Function is Vital.mp4 (42.78 MB)
MP4
30 - Step One Setup Function.mp4 (71.54 MB)
MP4
31 - Step Two Create Function.mp4 (26.47 MB)
MP4
32 - Step Three Assign Function.mp4 (40.39 MB)
MP4
33 - Step Four Plot Model Function.mp4 (24.23 MB)
MP4
34 - Step Five Evaluate Function.mp4 (45 MB)
MP4
35 - Save Model.mp4 (5.71 MB)
MP4
36 - The type of the data influences the interpretability of results.mp4 (50.66 MB)
MP4
37 - What is Association Rule Mining.mp4 (51.36 MB)
MP4
39 - What is Support.mp4 (21.87 MB)
MP4
40 - Part 1 Explore the dataset.mp4 (71.56 MB)
MP4
42 - Part 2 Create the Model and Examine the rules.mp4 (75.36 MB)
MP4
43 - Part 3 Visualize the results of the Association Rule Mining Exercise.mp4 (64.29 MB)
MP4
MP4
2 - Overview of Sectorspecific Use Cases.mp4 (33.91 MB)
MP4
3 - How can you get the most out of this course.mp4 (27.44 MB)
MP4
4 - What is RFM analysis.mp4 (56.43 MB)
MP4
6 - RFM Example.mp4 (133.45 MB)
MP4
10 - Explore the dataset.mp4 (48.29 MB)
MP4
11 - Step 1 PyCaret Setup Function.mp4 (34.79 MB)
MP4
12 - Step 2 CreateModel Function.mp4 (46.55 MB)
MP4
14 - Step 3 Assign Model.mp4 (21.51 MB)
MP4
15 - Step 4 Plot Model.mp4 (52.88 MB)
MP4
8 - PyCaret Clustering Module Workflow.mp4 (11.18 MB)
MP4
9 - Install PyCaret then Load the Dataset.mp4 (29.18 MB)
MP4
17 - What is Sentiment Analysis.mp4 (39.25 MB)
MP4
19 - Sentiment Analysis with Textblob Financial News Dataset.mp4 (201.27 MB)
MP4
20 - Vader Sentiment Analysis.mp4 (59.96 MB)
MP4
21 - Text 2 Emotion.mp4 (36.99 MB)
MP4
22 - Overview of Anomaly Detection.mp4 (15.77 MB)
MP4
23 - Types of Anomalies.mp4 (39.18 MB)
MP4
24 - Project 1 Social Media Monitoring Example.mp4 (211.89 MB)
MP4
25 - Intuition behind Topic Modelling.mp4 (19.68 MB)
MP4
26 - How LDA works.mp4 (30.37 MB)
MP4
27 - Topic coherence Evaluating the results of topic modelling.mp4 (19.39 MB)
MP4
28 - Load the dataset.mp4 (78.63 MB)
MP4
29 - Why the Setup Function is Vital.mp4 (42.78 MB)
MP4
30 - Step One Setup Function.mp4 (71.54 MB)
MP4
31 - Step Two Create Function.mp4 (26.47 MB)
MP4
32 - Step Three Assign Function.mp4 (40.39 MB)
MP4
33 - Step Four Plot Model Function.mp4 (24.23 MB)
MP4
34 - Step Five Evaluate Function.mp4 (45 MB)
MP4
35 - Save Model.mp4 (5.71 MB)
MP4
36 - The type of the data influences the interpretability of results.mp4 (50.66 MB)
MP4
37 - What is Association Rule Mining.mp4 (51.36 MB)
MP4
39 - What is Support.mp4 (21.87 MB)
MP4
40 - Part 1 Explore the dataset.mp4 (71.56 MB)
MP4
42 - Part 2 Create the Model and Examine the rules.mp4 (75.36 MB)
MP4
43 - Part 3 Visualize the results of the Association Rule Mining Exercise.mp4 (64.29 MB)
MP4
Unleash the Power of PyCaret for Marketing Analytics.part1.rar
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Code:
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um Code Inhalt zu sehen!
Unleash the Power of PyCaret for Marketing Analytics.part1.rar
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!