Applied Machine Learning - Feature Engineering (2024) --> [ CourseWikia ]


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Torrent Size : 254.61 MB


Applied Machine Learning - Feature Engineering (2024) --> [ CourseWikia ]
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Torrent File Content (62 files)


[ CourseWikia.com ] Applied Machine Learning - Feature Engineering (2024)
     Get Bonus Downloads Here.url -
181 bytes

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          01 - Introduction/01 - Applied ML Feature engineering.mp4 -
4.17 MB

          01 - Introduction/01 - Applied ML Feature engineering.srt -
1.52 KB

          01 - Introduction/02 - What you should know.mp4 -
5.34 MB

          01 - Introduction/02 - What you should know.srt -
2.07 KB

          02 - 1. Basic Techniques/01 - Imputation.mp4 -
11.58 MB

          02 - 1. Basic Techniques/01 - Imputation.srt -
8.07 KB

          02 - 1. Basic Techniques/02 - Filling in missing values.mp4 -
12.25 MB

          02 - 1. Basic Techniques/02 - Filling in missing values.srt -
9.4 KB

          02 - 1. Basic Techniques/03 - Binning.mp4 -
13.87 MB

          02 - 1. Basic Techniques/03 - Binning.srt -
10.82 KB

          02 - 1. Basic Techniques/04 - Log transform.mp4 -
13.57 MB

          02 - 1. Basic Techniques/04 - Log transform.srt -
10.87 KB

          02 - 1. Basic Techniques/05 - Scaling.mp4 -
5.16 MB

          02 - 1. Basic Techniques/05 - Scaling.srt -
3.82 KB

          02 - 1. Basic Techniques/06 - Challenge Basic techniques.mp4 -
2.87 MB

          02 - 1. Basic Techniques/06 - Challenge Basic techniques.srt -
2.58 KB

          02 - 1. Basic Techniques/07 - Solution Basic techniques.mp4 -
11.52 MB

          02 - 1. Basic Techniques/07 - Solution Basic techniques.srt -
9.62 KB

          03 - 2. Categorical Encoding/01 - One hot encoding.mp4 -
20.48 MB

          03 - 2. Categorical Encoding/01 - One hot encoding.srt -
11.95 KB

          03 - 2. Categorical Encoding/02 - Hashing encoder.mp4 -
5.56 MB

          03 - 2. Categorical Encoding/02 - Hashing encoder.srt -
4.56 KB

          03 - 2. Categorical Encoding/03 - Mean target encoding.mp4 -
7.04 MB

          03 - 2. Categorical Encoding/03 - Mean target encoding.srt -
3.86 KB

          03 - 2. Categorical Encoding/04 - Challenge Categorical.mp4 -
775.51 KB

          03 - 2. Categorical Encoding/04 - Challenge Categorical.srt -
716 bytes

          03 - 2. Categorical Encoding/05 - Solution Categorical.mp4 -
13.66 MB

          03 - 2. Categorical Encoding/05 - Solution Categorical.srt -
8.39 KB

          04 - 3. Feature Extraction/01 - PCA.mp4 -
7.04 MB

          04 - 3. Feature Extraction/01 - PCA.srt -
4.4 KB

          04 - 3. Feature Extraction/02 - Feature aggregation.mp4 -
5.74 MB

          04 - 3. Feature Extraction/02 - Feature aggregation.srt -
3.36 KB

          04 - 3. Feature Extraction/03 - TFIDF.mp4 -
16.05 MB

          04 - 3. Feature Extraction/03 - TFIDF.srt -
7.69 KB

          04 - 3. Feature Extraction/04 - Text embeddings.mp4 -
10.26 MB

          04 - 3. Feature Extraction/04 - Text embeddings.srt -
6.32 KB

          04 - 3. Feature Extraction/05 - Challenge Feature extraction.mp4 -
498.99 KB

          04 - 3. Feature Extraction/05 - Challenge Feature extraction.srt -
389 bytes

          04 - 3. Feature Extraction/06 - Solution Feature extraction.mp4 -
4.55 MB

          04 - 3. Feature Extraction/06 - Solution Feature extraction.srt -
3 KB

          05 - 4. Temporal Features/01 - Extracting date components.mp4 -
2.02 MB

          05 - 4. Temporal Features/01 - Extracting date components.srt -
1.39 KB

          05 - 4. Temporal Features/02 - Seasonality and trend decomposition.mp4 -
14.94 MB

          05 - 4. Temporal Features/02 - Seasonality and trend decomposition.srt -
10 KB

          05 - 4. Temporal Features/03 - Challenge Temporal features.mp4 -
3.44 MB

          05 - 4. Temporal Features/03 - Challenge Temporal features.srt -
2.48 KB

          05 - 4. Temporal Features/04 - Solution Temporal features.mp4 -
21.32 MB

          05 - 4. Temporal Features/04 - Solution Temporal features.srt -
12.31 KB

          06 - 5. Feature Evaluation/01 - Importance and weights.mp4 -
19.89 MB



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