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Torrent Details
[ CourseWikia.com ] Applied Machine Learning - Feature Engineering (2024)
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254.61 MB
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Apr 25, 2024
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[ CourseWikia.com ] Applied Machine Learning - Feature Engineering (2024)
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05 - 4. Temporal Features
04 - Solution Temporal features.mp4
- 21.32 MB
02 - Seasonality and trend decomposition.mp4
- 14.94 MB
03 - Challenge Temporal features.mp4
- 3.44 MB
01 - Extracting date components.mp4
- 2.02 MB
04 - Solution Temporal features.srt
- 12.31 KB
02 - Seasonality and trend decomposition.srt
- 10 KB
03 - Challenge Temporal features.srt
- 2.48 KB
01 - Extracting date components.srt
- 1.39 KB
03 - 2. Categorical Encoding
01 - One hot encoding.mp4
- 20.48 MB
05 - Solution Categorical.mp4
- 13.66 MB
03 - Mean target encoding.mp4
- 7.04 MB
02 - Hashing encoder.mp4
- 5.56 MB
04 - Challenge Categorical.mp4
- 775.51 KB
01 - One hot encoding.srt
- 11.95 KB
05 - Solution Categorical.srt
- 8.39 KB
02 - Hashing encoder.srt
- 4.56 KB
03 - Mean target encoding.srt
- 3.86 KB
04 - Challenge Categorical.srt
- 716 B
06 - 5. Feature Evaluation
01 - Importance and weights.mp4
- 19.89 MB
05 - Solution Feature selection.mp4
- 9.88 MB
02 - Recursive feature elimination.mp4
- 5.96 MB
03 - Adding a random column.mp4
- 3.3 MB
04 - Challenge Feature selection.mp4
- 601.99 KB
01 - Importance and weights.srt
- 14.11 KB
05 - Solution Feature selection.srt
- 4.64 KB
02 - Recursive feature elimination.srt
- 3.83 KB
03 - Adding a random column.srt
- 2.52 KB
04 - Challenge Feature selection.srt
- 482 B
04 - 3. Feature Extraction
03 - TFIDF.mp4
- 16.05 MB
04 - Text embeddings.mp4
- 10.26 MB
01 - PCA.mp4
- 7.04 MB
02 - Feature aggregation.mp4
- 5.74 MB
06 - Solution Feature extraction.mp4
- 4.55 MB
05 - Challenge Feature extraction.mp4
- 498.99 KB
03 - TFIDF.srt
- 7.69 KB
04 - Text embeddings.srt
- 6.32 KB
01 - PCA.srt
- 4.4 KB
02 - Feature aggregation.srt
- 3.36 KB
06 - Solution Feature extraction.srt
- 3 KB
05 - Challenge Feature extraction.srt
- 389 B
02 - 1. Basic Techniques
03 - Binning.mp4
- 13.87 MB
04 - Log transform.mp4
- 13.57 MB
02 - Filling in missing values.mp4
- 12.25 MB
01 - Imputation.mp4
- 11.58 MB
07 - Solution Basic techniques.mp4
- 11.52 MB
05 - Scaling.mp4
- 5.16 MB
06 - Challenge Basic techniques.mp4
- 2.87 MB
04 - Log transform.srt
- 10.87 KB
03 - Binning.srt
- 10.82 KB
07 - Solution Basic techniques.srt
- 9.62 KB
02 - Filling in missing values.srt
- 9.4 KB
01 - Imputation.srt
- 8.07 KB
05 - Scaling.srt
- 3.82 KB
06 - Challenge Basic techniques.srt
- 2.58 KB
01 - Introduction
02 - What you should know.mp4
- 5.34 MB
01 - Applied ML Feature engineering.mp4
- 4.17 MB
02 - What you should know.srt
- 2.07 KB
01 - Applied ML Feature engineering.srt
- 1.52 KB
07 - Conclusion
01 - Next steps.mp4
- 1.16 MB
01 - Next steps.srt
- 1010 B
Bonus Resources.txt
- 386 B
Get Bonus Downloads Here.url
- 181 B
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InfoHash:
14C5A8EB3130DA9077819CB63EE2E5509A9BE032
Last updated:
Apr 25, 2024
File count:
62 B
File Category:
1
Tags:
coursewikia, applied, machine, learning, feature, engineering
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