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Category:
Language:
English
Total Size:
595.8 MB
Info Hash:
A892F9BBDBBA35F3246279010FCA6E421B728BB6
Added By:
Added:
Nov. 16, 2023, 3:37 p.m.
Stats:
|
(Last updated: May 7, 2025, 5:40 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 1 - Introduction and Problem Statement.mp4 | 57.5 MB |
| 2 - Stars Galaxies and Quasars.mp4 | 12.5 MB |
| 3 - Peeking into Dataset.mp4 | 32.0 MB |
| 4 - Importing Necessary Libraries and Modules.mp4 | 13.0 MB |
| 4 - Predicting-stars-quasars-and-galaxies.ipynb | 596.7 KB |
| 5 - Exploring the Dataset.mp4 | 69.9 MB |
| 6 - Performing Label Encoding on Class Column.mp4 | 33.0 MB |
| 7 - M2V3-Notes.ipynb | 3.0 KB |
| 7 - Splitting the Dataset into Training and Testing Data Leakage.mp4 | 147.6 MB |
| 8 - Using Seaborn for some Visual Analysis.mp4 | 17.1 MB |
| 10 - Understand and Build Logistic Regression for Classification.mp4 | 16.9 MB |
| 11 - Gist on KNN and Building it Link for Exoplanets Udemy.mp4 | 10.3 MB |
| 12 - Train the ML models and make them predict on Test Data.mp4 | 10.5 MB |
| 13 - Understand the Classification Report and Evaluate the ML Models.mp4 | 33.6 MB |
| 14 - Conclusion.mp4 | 78.6 MB |
| 9 - Understand and Build Decision Tree Classifier.mp4 | 62.5 MB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
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595.8 MB
[12
/
1]
2023-11-16
| Uploaded by FreeCourseWeb | Size 595.8 MB | Health [ 12 /1 ] | Added 2023-11-16 |
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784.7 MB
[13
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40]
2023-10-27
| Uploaded by freecoursewb | Size 784.7 MB | Health [ 13 /40 ] | Added 2023-10-27 |
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1017.6 MB
[50
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14]
2023-10-27
| Uploaded by freecoursewb | Size 1017.6 MB | Health [ 50 /14 ] | Added 2023-10-27 |
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557.5 MB
[26
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24]
2023-10-27
| Uploaded by freecoursewb | Size 557.5 MB | Health [ 26 /24 ] | Added 2023-10-27 |
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1.0 GB
[34
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28]
2023-10-27
| Uploaded by freecoursewb | Size 1.0 GB | Health [ 34 /28 ] | Added 2023-10-27 |
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531.9 MB
[39
/
28]
2023-10-27
| Uploaded by freecoursewb | Size 531.9 MB | Health [ 39 /28 ] | Added 2023-10-27 |
NOTE
SOURCE: Project Predicting Stars Galaxies And Quasars With Ml DevCourseWeb
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