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[ 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:
2024-12-10
热度:
1095
[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:
2024-12-10
热度:
2783
[ 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:
2024-12-05
热度:
773
[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:
2024-06-24
热度:
287
[ 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:
2024-12-08
热度:
802
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