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Checked by:
Category:
Language:
English
Total Size:
266.9 MB
Info Hash:
67B6C7FF8BBF438697B5ADD173CBD133BA68FEB2
Added By:
Added:
Oct. 24, 2024, 5:26 p.m.
Stats:
|
(Last updated: May 10, 2025, 3:54 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 01 - Leverage generative AI for analytics and insights.mp4 | 3.7 MB |
| 01 - Leverage generative AI for analytics and insights.srt | 1.1 KB |
| 02 - What you should know.mp4 | 2.1 MB |
| 02 - What you should know.srt | 1.5 KB |
| 03 - How to use the challenge exercise files.mp4 | 6.2 MB |
| 03 - How to use the challenge exercise files.srt | 2.9 KB |
| 01 - We live in a data-driven world!.mp4 | 9.1 MB |
| 01 - We live in a data-driven world!.srt | 5.3 KB |
| 02 - Our use case.mp4 | 6.4 MB |
| 02 - Our use case.srt | 3.7 KB |
| 03 - Raw data is messy.mp4 | 13.4 MB |
| 03 - Raw data is messy.srt | 5.8 KB |
| 04 - Role of data in the machine learning workflow.mp4 | 3.6 MB |
| 04 - Role of data in the machine learning workflow.srt | 2.7 KB |
| 01 - Data with a structure.mp4 | 8.2 MB |
| 01 - Data with a structure.srt | 6.3 KB |
| 02 - Data without a structure.mp4 | 11.8 MB |
| 02 - Data without a structure.srt | 7.4 KB |
| 03 - Using simple Python code to check your data.mp4 | 4.3 MB |
| 03 - Using simple Python code to check your data.srt | 3.5 KB |
| 04 - Python for data preprocessing with Pandas and Matplotlib.mp4 | 9.7 MB |
| 04 - Python for data preprocessing with Pandas and Matplotlib.srt | 7.5 KB |
| 05 - Challenge Load and check the data using Python.mp4 | 5.8 MB |
| 05 - Challenge Load and check the data using Python.srt | 3.8 KB |
| 06 - Solution Load and check the data using Python.mp4 | 4.8 MB |
| 06 - Solution Load and check the data using Python.srt | 2.6 KB |
| 01 - Data preprocessing the telecom dataset.mp4 | 13.6 MB |
| 01 - Data preprocessing the telecom dataset.srt | 10.1 KB |
| 02 - Introduction to text preprocessing.mp4 | 10.6 MB |
| 02 - Introduction to text preprocessing.srt | 7.6 KB |
| 03 - Challenge Data preprocessing the telecom dataset.mp4 | 3.1 MB |
| 03 - Challenge Data preprocessing the telecom dataset.srt | 2.1 KB |
| 04 - Solution Data preprocessing the telecom dataset.mp4 | 17.3 MB |
| 04 - Solution Data preprocessing the telecom dataset.srt | 9.1 KB |
| 01 - Exploratory data analysis (EDA).mp4 | 10.0 MB |
| 01 - Exploratory data analysis (EDA).srt | 7.2 KB |
| 02 - Challenge Perform exploratory data analysis.mp4 | 4.0 MB |
| 02 - Challenge Perform exploratory data analysis.srt | 3.2 KB |
| 03 - Solution Perform exploratory data analysis.mp4 | 12.4 MB |
| 03 - Solution Perform exploratory data analysis.srt | 7.6 KB |
| 01 - Overview of predictive and generative AI.mp4 | 10.6 MB |
| 01 - Overview of predictive and generative AI.srt | 6.4 KB |
| 02 - What is deep learning.mp4 | 16.4 MB |
| 02 - What is deep learning.srt | 7.0 KB |
| 03 - Generative modeling use cases.mp4 | 6.7 MB |
| 03 - Generative modeling use cases.srt | 5.3 KB |
| 04 - Predictive modeling use cases.mp4 | 6.2 MB |
| 04 - Predictive modeling use cases.srt | 4.9 KB |
| 01 - Deep learning Predict customer lifetime value.mp4 | 9.7 MB |
| 01 - Deep learning Predict customer lifetime value.srt | 6.9 KB |
| 02 - Challenge Predict customer lifetime value.mp4 | 21.6 MB |
| 02 - Challenge Predict customer lifetime value.srt | 10.8 KB |
| 03 - Solution Predict customer lifetime value.mp4 | 7.9 MB |
| 03 - Solution Predict customer lifetime value.srt | 4.0 KB |
| 01 - Introduction to capstone and use case.mp4 | 8.5 MB |
| 01 - Introduction to capstone and use case.srt | 5.9 KB |
| 02 - Challenge Predict media channel sales using Keras.mp4 | 1.3 MB |
| 02 - Challenge Predict media channel sales using Keras.srt | 639 bytes |
| 03 - Solution Predict media channel sales using Keras.mp4 | 3.7 MB |
| 03 - Solution Predict media channel sales using Keras.srt | 2.1 KB |
| 04 - Optional challenge Generate sentiments using BERT.mp4 | 1.7 MB |
| 04 - Optional challenge Generate sentiments using BERT.srt | 1012 bytes |
| 05 - Solution Generate sentiments using BERT.mp4 | 9.8 MB |
| 05 - Solution Generate sentiments using BERT.srt | 4.7 KB |
| 01 - Next steps.mp4 | 2.9 MB |
| 01 - Next steps.srt | 2.9 KB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
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10.2 MB
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2024-04-22
| Uploaded by FreeCourseWeb | Size 10.2 MB | Health [ 49 /25 ] | Added 2024-04-22 |
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3.9 GB
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2023-10-23
| Uploaded by freecoursewb | Size 3.9 GB | Health [ 48 /42 ] | Added 2023-10-23 |
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2.4 GB
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2024-02-01
| Uploaded by FreeCourseWeb | Size 2.4 GB | Health [ 44 /31 ] | Added 2024-02-01 |
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266.9 MB
[26
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2024-10-24
| Uploaded by FreeCourseWeb | Size 266.9 MB | Health [ 26 /0 ] | Added 2024-10-24 |
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29.9 MB
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2025-07-07
| Uploaded by freecoursewb | Size 29.9 MB | Health [ 17 /0 ] | Added 2025-07-07 |
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39.7 MB
[15
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2023-07-01
| Uploaded by FreeCourseWeb | Size 39.7 MB | Health [ 15 /7 ] | Added 2023-07-01 |
Name
DL
Uploader
Size
S/L
Added
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230.5 KB
[29
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2024-06-20
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1.6 GB
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2026-06-13
NOTE
SOURCE: Deep Learning and Generative AI Data Prep Analysis and Visualization with Python DevCou
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COVER
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MEDIAINFO
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