udemy feature engineering for machine learning -移花宫 -武林禁地，闲人禁止入内

[ FreeCourseWeb.com ] Udemy - Feature Engineering for Machine Learning-Transform the variables in your data & build better performing machine learning models.zip

[ FreeCourseWeb.com ] Udemy - Feature Engineering for Machine Learning-Transform the variables in your data & build better performing machine learning models.zip 4.0 GB

[磁力链接] 添加时间:2022-01-13 大小:4.0 GB 最近下载:2025-11-25 热度:2210

[FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning

13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4 165.2 MB
13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4 142.6 MB
4. Missing Data Imputation/8. Random sample imputation.mp4 107.6 MB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4 95.8 MB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4 92.4 MB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4 84.3 MB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4 84.1 MB
8. Discretisation/3. Equal-width discretisation Demo.mp4 82.9 MB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4 82.3 MB
6. Categorical Variable Encoding/19. Rare label encoding Demo.mp4 72.8 MB
3. Variable Characteristics/5. Linear models assumptions.mp4 72.2 MB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.mp4 72.1 MB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4 60.3 MB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4 60.0 MB
12. Engineering datetime variables/2. Engineering dates Demo.mp4 56.6 MB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4 54.7 MB
4. Missing Data Imputation/3. Mean or median imputation.mp4 54.7 MB
9. Outlier Handling/2. Outlier trimming.mp4 53.6 MB
4. Missing Data Imputation/6. Frequent category imputation.mp4 52.2 MB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.mp4 51.8 MB

[磁力链接] 添加时间:2021-03-07 大小:4.0 GB 最近下载:2025-11-28 热度:4137

[ FreeCourseWeb.com ] Udemy - Feature Engineering for Machine Learning (updated 10-2019).zip

[ FreeCourseWeb.com ] Udemy - Feature Engineering for Machine Learning (updated 10-2019).zip 4.0 GB

[磁力链接] 添加时间:2021-04-13 大小:4.0 GB 最近下载:2025-10-29 热度:864

[FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning

13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4 165.2 MB
13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4 142.6 MB
4. Missing Data Imputation/8. Random sample imputation.mp4 107.6 MB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4 95.8 MB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4 92.4 MB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4 84.3 MB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4 84.1 MB
8. Discretisation/3. Equal-width discretisation Demo.mp4 82.9 MB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4 82.3 MB
6. Categorical Variable Encoding/19. Rare label encoding Demo.mp4 72.8 MB
3. Variable Characteristics/5. Linear models assumptions.mp4 72.2 MB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.mp4 72.1 MB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4 60.3 MB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4 60.0 MB
12. Engineering datetime variables/2. Engineering dates Demo.mp4 56.6 MB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4 54.7 MB
4. Missing Data Imputation/3. Mean or median imputation.mp4 54.7 MB
9. Outlier Handling/2. Outlier trimming.mp4 53.6 MB
4. Missing Data Imputation/6. Frequent category imputation.mp4 52.2 MB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.mp4 51.8 MB

[磁力链接] 添加时间:2021-06-05 大小:4.0 GB 最近下载:2025-04-30 热度:297

[ DevCourseWeb.com ] Udemy - Feature Engineering for Machine Learning by Soledad Galli

~Get Your Files Here !/13 - Assembling a feature engineering pipeline/004 Regression pipeline.mp4 106.0 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/017 Weight of Evidence Demo.mp4 103.1 MB
~Get Your Files Here !/04 - Missing Data Imputation/008 Random sample imputation.mp4 91.9 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/004 One-hot-encoding Demo.mp4 90.1 MB
~Get Your Files Here !/13 - Assembling a feature engineering pipeline/003 Classification pipeline.mp4 80.3 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/018 Comparison of categorical variable encoding.mp4 79.9 MB
~Get Your Files Here !/08 - Discretisation/012 Discretisation with decision trees using Scikit-learn.mp4 79.2 MB
~Get Your Files Here !/08 - Discretisation/004 Equal-width discretisation Demo.mp4 71.5 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/012 Target guided ordinal encoding Demo.mp4 69.1 MB
~Get Your Files Here !/04 - Missing Data Imputation/016 Automatic determination of imputation method with Sklearn.mp4 68.6 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/020 Rare label encoding Demo.mp4 63.5 MB
~Get Your Files Here !/13 - Assembling a feature engineering pipeline/005 Feature engineering pipeline with cross-validation.mp4 56.8 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/006 One hot encoding of top categories Demo.mp4 56.5 MB
~Get Your Files Here !/01 - Introduction/001 Course curriculum overview.mp4 52.0 MB
~Get Your Files Here !/06 - Categorical Variable Encoding/008 Ordinal encoding Demo.mp4 51.9 MB
~Get Your Files Here !/10 - Feature Scaling/013 Scaling to vector unit length Demo.mp4 47.0 MB
~Get Your Files Here !/07 - Variable Transformation/003 Variable Transformation with Scikit-learn.mp4 46.7 MB
~Get Your Files Here !/10 - Feature Scaling/005 Mean normalisation Demo.mp4 45.2 MB
~Get Your Files Here !/07 - Variable Transformation/002 Variable Transformation with Numpy and SciPy.mp4 44.5 MB
~Get Your Files Here !/03 - Variable Characteristics/005 Linear models assumptions.mp4 43.5 MB

[磁力链接] 添加时间:2022-05-01 大小:3.3 GB 最近下载:2025-11-19 热度:1663

[Tutorialsplanet.NET] Udemy - Feature Engineering for Machine Learning

13 - Assembling a feature engineering pipeline/004 Regression pipeline.mp4 106.0 MB
06 - Categorical Variable Encoding/017 Weight of Evidence Demo.mp4 103.1 MB
04 - Missing Data Imputation/008 Random sample imputation.mp4 91.9 MB
06 - Categorical Variable Encoding/004 One-hot-encoding Demo.mp4 90.1 MB
13 - Assembling a feature engineering pipeline/003 Classification pipeline.mp4 80.3 MB
06 - Categorical Variable Encoding/018 Comparison of categorical variable encoding.mp4 79.9 MB
08 - Discretisation/012 Discretisation with decision trees using Scikit-learn.mp4 79.2 MB
08 - Discretisation/004 Equal-width discretisation Demo.mp4 71.5 MB
06 - Categorical Variable Encoding/012 Target guided ordinal encoding Demo.mp4 69.1 MB
04 - Missing Data Imputation/016 Automatic determination of imputation method with Sklearn.mp4 68.6 MB
06 - Categorical Variable Encoding/020 Rare label encoding Demo.mp4 63.5 MB
13 - Assembling a feature engineering pipeline/005 Feature engineering pipeline with cross-validation.mp4 56.8 MB
06 - Categorical Variable Encoding/006 One hot encoding of top categories Demo.mp4 56.5 MB
01 - Introduction/001 Course curriculum overview.mp4 52.0 MB
06 - Categorical Variable Encoding/008 Ordinal encoding Demo.mp4 51.9 MB
10 - Feature Scaling/013 Scaling to vector unit length Demo.mp4 47.0 MB
07 - Variable Transformation/003 Variable Transformation with Scikit-learn.mp4 46.7 MB
10 - Feature Scaling/005 Mean normalisation Demo.mp4 45.2 MB
07 - Variable Transformation/002 Variable Transformation with Numpy and SciPy.mp4 44.5 MB
03 - Variable Characteristics/005 Linear models assumptions.mp4 43.5 MB

[磁力链接] 添加时间:2025-03-21 大小:3.2 GB 最近下载:2025-03-21 热度:1