Applied Machine Learning Feature Engineering 2024


    Seeders : 10      Leechers : 7

Torrent Hash : 14C5A8EB3130DA9077819CB63EE2E5509A9BE032
Torrent Added : at April 25, 2024, 5:52 a.m. in Other
Torrent Size : 254.6 MB


Knox Applied Machine Learning Feature Engineering 2024
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Torrent File Content (3 files)


Applied Machine Learning Feature Engineering 2024
     Get Bonus Downloads Here.url -
181 bytes



     01 - Applied ML Feature engineering.mp4 -
4.2 MB



     01 - Applied ML Feature engineering.srt -
1.5 KB



     02 - What you should know.mp4 -
5.3 MB



     02 - What you should know.srt -
2.1 KB



     01 - Imputation.mp4 -
11.6 MB



     01 - Imputation.srt -
8.1 KB



     02 - Filling in missing values.mp4 -
12.3 MB



     02 - Filling in missing values.srt -
9.4 KB



     03 - Binning.mp4 -
13.9 MB



     03 - Binning.srt -
10.8 KB



     04 - Log transform.mp4 -
13.6 MB



     04 - Log transform.srt -
10.9 KB



     05 - Scaling.mp4 -
5.2 MB



     05 - Scaling.srt -
3.8 KB



     06 - Challenge Basic techniques.mp4 -
2.9 MB



     06 - Challenge Basic techniques.srt -
2.6 KB



     07 - Solution Basic techniques.mp4 -
11.5 MB



     07 - Solution Basic techniques.srt -
9.6 KB



     01 - One hot encoding.mp4 -
20.5 MB



     01 - One hot encoding.srt -
12.0 KB



     02 - Hashing encoder.mp4 -
5.6 MB



     02 - Hashing encoder.srt -
4.6 KB



     03 - Mean target encoding.mp4 -
7.0 MB



     03 - Mean target encoding.srt -
3.9 KB



     04 - Challenge Categorical.mp4 -
775.5 KB



     04 - Challenge Categorical.srt -
716 bytes



     05 - Solution Categorical.mp4 -
13.7 MB



     05 - Solution Categorical.srt -
8.4 KB



     01 - PCA.mp4 -
7.0 MB



     01 - PCA.srt -
4.4 KB



     02 - Feature aggregation.mp4 -
5.7 MB



     02 - Feature aggregation.srt -
3.4 KB



     03 - TFIDF.mp4 -
16.1 MB



     03 - TFIDF.srt -
7.7 KB



     04 - Text embeddings.mp4 -
10.3 MB



     04 - Text embeddings.srt -
6.3 KB



     05 - Challenge Feature extraction.mp4 -
499.0 KB



     05 - Challenge Feature extraction.srt -
389 bytes



     06 - Solution Feature extraction.mp4 -
4.5 MB



     06 - Solution Feature extraction.srt -
3.0 KB



     01 - Extracting date components.mp4 -
2.0 MB



     01 - Extracting date components.srt -
1.4 KB



     02 - Seasonality and trend decomposition.mp4 -
14.9 MB



     02 - Seasonality and trend decomposition.srt -
10.0 KB



     03 - Challenge Temporal features.mp4 -
3.4 MB



     03 - Challenge Temporal features.srt -
2.5 KB



     04 - Solution Temporal features.mp4 -
21.3 MB



     04 - Solution Temporal features.srt -
12.3 KB



     01 - Importance and weights.mp4 -
19.9 MB



     01 - Importance and weights.srt -
14.1 KB



     02 - Recursive feature elimination.mp4 -
6.0 MB



     02 - Recursive feature elimination.srt -
3.8 KB



     03 - Adding a random column.mp4 -
3.3 MB



     03 - Adding a random column.srt -
2.5 KB



     04 - Challenge Feature selection.mp4 -
602.0 KB



     04 - Challenge Feature selection.srt -
482 bytes



     05 - Solution Feature selection.mp4 -
9.9 MB



     05 - Solution Feature selection.srt -
4.6 KB



     01 - Next steps.mp4 -
1.2 MB



     01 - Next steps.srt -
1010 bytes



     Bonus Resources.txt -
386 bytes


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