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[FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning
大小 3.76 GB
文件数 338
Info Hash: C4069CAC192C286F32CBE87A76FF1DDC6F293EA8
收录时间 2026-01-21 02:59:33
更新时间 2026-01-21 02:59:33
文件列表 (338)
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1. Introduction/1. Introduction.mp4
32.86 MB
1. Introduction/1. Introduction.srt
6.81 KB
1. Introduction/1. Introduction.vtt
6.06 KB
1. Introduction/2. Course curriculum overview.mp4
33.37 MB
1. Introduction/2. Course curriculum overview.srt
7.24 KB
1. Introduction/2. Course curriculum overview.vtt
6.46 KB
1. Introduction/3. Course requirements.mp4
10.64 MB
1. Introduction/3. Course requirements.srt
4.1 KB
1. Introduction/3. Course requirements.vtt
3.66 KB
1. Introduction/4. How to approach this course.html
1.76 KB
1. Introduction/5. Setting up your computer.html
3.52 KB
1. Introduction/6. Download Jupyter notebooks.html
1.26 KB
1. Introduction/6.1 HandsOnPythonCode.zip.zip
9.24 MB
1. Introduction/7. Download datasets.html
1.97 KB
1. Introduction/8. Download course presentations.html
764 B
1. Introduction/8.1 FeatureEngineeringSlides.zip.zip
29.59 MB
1. Introduction/9. FAQ Data Science, Python programming, datasets, presentations and more....html
1.64 KB
10. Feature Scaling/1. Feature scaling Introduction.mp4
20.6 MB
10. Feature Scaling/1. Feature scaling Introduction.srt
4.55 KB
10. Feature Scaling/1. Feature scaling Introduction.vtt
4.07 KB
10. Feature Scaling/10. Scaling to median and quantiles.mp4
13.01 MB
10. Feature Scaling/10. Scaling to median and quantiles.srt
3.15 KB
10. Feature Scaling/10. Scaling to median and quantiles.vtt
2.82 KB
10. Feature Scaling/11. Robust Scaling Demo.mp4
16.55 MB
10. Feature Scaling/11. Robust Scaling Demo.srt
2.43 KB
10. Feature Scaling/11. Robust Scaling Demo.vtt
2.17 KB
10. Feature Scaling/12. Scaling to vector unit length.mp4
31.94 MB
10. Feature Scaling/12. Scaling to vector unit length.srt
6.64 KB
10. Feature Scaling/12. Scaling to vector unit length.vtt
5.88 KB
10. Feature Scaling/13. Scaling to vector unit length Demo.mp4
46.31 MB
10. Feature Scaling/13. Scaling to vector unit length Demo.srt
6.01 KB
10. Feature Scaling/13. Scaling to vector unit length Demo.vtt
5.35 KB
10. Feature Scaling/14. Additional reading resources.html
1.34 KB
10. Feature Scaling/2. Standardisation.mp4
26.51 MB
10. Feature Scaling/2. Standardisation.srt
6.57 KB
10. Feature Scaling/2. Standardisation.vtt
5.86 KB
10. Feature Scaling/3. Standardisation Demo.mp4
41.62 MB
10. Feature Scaling/3. Standardisation Demo.srt
5.51 KB
10. Feature Scaling/3. Standardisation Demo.vtt
4.93 KB
10. Feature Scaling/4. Mean normalisation.mp4
19.81 MB
10. Feature Scaling/4. Mean normalisation.srt
4.92 KB
10. Feature Scaling/4. Mean normalisation.vtt
4.4 KB
10. Feature Scaling/5. Mean normalisation Demo.mp4
45.08 MB
10. Feature Scaling/5. Mean normalisation Demo.srt
6.19 KB
10. Feature Scaling/5. Mean normalisation Demo.vtt
5.51 KB
10. Feature Scaling/6. Scaling to minimum and maximum values.mp4
17.08 MB
10. Feature Scaling/6. Scaling to minimum and maximum values.srt
3.81 KB
10. Feature Scaling/6. Scaling to minimum and maximum values.vtt
3.39 KB
10. Feature Scaling/7. MinMaxScaling Demo.mp4
25.89 MB
10. Feature Scaling/7. MinMaxScaling Demo.srt
3.47 KB
10. Feature Scaling/7. MinMaxScaling Demo.vtt
3.11 KB
10. Feature Scaling/8. Maximum absolute scaling.mp4
14.6 MB
10. Feature Scaling/8. Maximum absolute scaling.srt
3.29 KB
10. Feature Scaling/8. Maximum absolute scaling.vtt
2.94 KB
10. Feature Scaling/9. MaxAbsScaling Demo.mp4
31.47 MB
10. Feature Scaling/9. MaxAbsScaling Demo.srt
4.56 KB
10. Feature Scaling/9. MaxAbsScaling Demo.vtt
4.05 KB
11. Engineering mixed variables/1. Engineering mixed variables.mp4
15.27 MB
11. Engineering mixed variables/1. Engineering mixed variables.srt
3.98 KB
11. Engineering mixed variables/1. Engineering mixed variables.vtt
3.55 KB
11. Engineering mixed variables/2. Engineering mixed variables Demo.mp4
45.48 MB
11. Engineering mixed variables/2. Engineering mixed variables Demo.srt
7.24 KB
11. Engineering mixed variables/2. Engineering mixed variables Demo.vtt
6.45 KB
12. Engineering datetime variables/1. Engineering datetime variables.mp4
23.19 MB
12. Engineering datetime variables/1. Engineering datetime variables.srt
5.48 KB
12. Engineering datetime variables/1. Engineering datetime variables.vtt
4.87 KB
12. Engineering datetime variables/2. Engineering dates Demo.mp4
54.01 MB
12. Engineering datetime variables/2. Engineering dates Demo.srt
9.1 KB
12. Engineering datetime variables/2. Engineering dates Demo.vtt
8.05 KB
12. Engineering datetime variables/3. Engineering time variables and different timezones.mp4
33.48 MB
12. Engineering datetime variables/3. Engineering time variables and different timezones.srt
5.36 KB
12. Engineering datetime variables/3. Engineering time variables and different timezones.vtt
4.73 KB
13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4
135.99 MB
13. Assembling a feature engineering pipeline/1. Classification pipeline.srt
15.57 KB
13. Assembling a feature engineering pipeline/1. Classification pipeline.vtt
13.87 KB
13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4
157.57 MB
13. Assembling a feature engineering pipeline/2. Regression pipeline.srt
16.77 KB
13. Assembling a feature engineering pipeline/2. Regression pipeline.vtt
14.83 KB
13. Assembling a feature engineering pipeline/3. Beat the performance by engineering features.html
155 B
14. Final section Next steps/1. BONUS Discounts on my other courses!.html
1.02 KB
2. Variable Types/1. Variables Intro.mp4
15.3 MB
2. Variable Types/1. Variables Intro.srt
3.53 KB
2. Variable Types/1. Variables Intro.vtt
3.14 KB
2. Variable Types/2. Numerical variables.mp4
26.88 MB
2. Variable Types/2. Numerical variables.srt
6.69 KB
2. Variable Types/2. Numerical variables.vtt
5.97 KB
2. Variable Types/3. Categorical variables.mp4
18.4 MB
2. Variable Types/3. Categorical variables.srt
4.56 KB
2. Variable Types/3. Categorical variables.vtt
4.07 KB
2. Variable Types/4. Date and time variables.mp4
9.8 MB
2. Variable Types/4. Date and time variables.srt
2.4 KB
2. Variable Types/4. Date and time variables.vtt
2.14 KB
2. Variable Types/5. Mixed variables.mp4
11.25 MB
2. Variable Types/5. Mixed variables.srt
2.94 KB
2. Variable Types/5. Mixed variables.vtt
2.6 KB
2. Variable Types/5.1 sample_s2.csv.csv
9.94 MB
2. Variable Types/6. Bonus More about the Lending Club dataset.html
826 B
2. Variable Types/7. Quiz about variable types.html
151 B
3. Variable Characteristics/1. Variable characteristics.mp4
20.84 MB
3. Variable Characteristics/1. Variable characteristics.srt
3.58 KB
3. Variable Characteristics/1. Variable characteristics.vtt
3.19 KB
3. Variable Characteristics/10. Bonus Additional reading resources.html
4.68 KB
3. Variable Characteristics/11. FAQ How can I learn more about machine learning.html
824 B
3. Variable Characteristics/2. Missing data.mp4
40.11 MB
3. Variable Characteristics/2. Missing data.srt
8.97 KB
3. Variable Characteristics/2. Missing data.vtt
7.92 KB
3. Variable Characteristics/3. Cardinality - categorical variables.mp4
31.02 MB
3. Variable Characteristics/3. Cardinality - categorical variables.srt
6.34 KB
3. Variable Characteristics/3. Cardinality - categorical variables.vtt
5.64 KB
3. Variable Characteristics/4. Rare Labels - categorical variables.mp4
33.86 MB
3. Variable Characteristics/4. Rare Labels - categorical variables.srt
6.09 KB
3. Variable Characteristics/4. Rare Labels - categorical variables.vtt
5.4 KB
3. Variable Characteristics/5. Linear models assumptions.mp4
68.89 MB
3. Variable Characteristics/5. Linear models assumptions.srt
11.48 KB
3. Variable Characteristics/5. Linear models assumptions.vtt
10.25 KB
3. Variable Characteristics/6. Variable distribution.mp4
32.77 MB
3. Variable Characteristics/6. Variable distribution.srt
6.48 KB
3. Variable Characteristics/6. Variable distribution.vtt
5.76 KB
3. Variable Characteristics/7. Outliers.mp4
48.36 MB
3. Variable Characteristics/7. Outliers.srt
10.4 KB
3. Variable Characteristics/7. Outliers.vtt
9.23 KB
3. Variable Characteristics/8. Variable magnitude.mp4
19.96 MB
3. Variable Characteristics/8. Variable magnitude.srt
3.87 KB
3. Variable Characteristics/8. Variable magnitude.vtt
3.45 KB
3. Variable Characteristics/9. Bonus Machine learning algorithms overview.html
140 B
3. Variable Characteristics/9.1 ML_Comparison.pdf.pdf
297.65 KB
4. Missing Data Imputation/1. Introduction to missing data imputation.mp4
29.37 MB
4. Missing Data Imputation/1. Introduction to missing data imputation.srt
5.24 KB
4. Missing Data Imputation/1. Introduction to missing data imputation.vtt
4.66 KB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4
88.12 MB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.srt
12.86 KB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.vtt
11.35 KB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4
52.16 MB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.srt
6.55 KB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.vtt
5.8 KB
4. Missing Data Imputation/12. Frequent category imputation with Scikit-learn.mp4
34.18 MB
4. Missing Data Imputation/12. Frequent category imputation with Scikit-learn.srt
4.15 KB
4. Missing Data Imputation/12. Frequent category imputation with Scikit-learn.vtt
3.69 KB
4. Missing Data Imputation/13. Missing category imputation with Scikit-learn.mp4
24.61 MB
4. Missing Data Imputation/13. Missing category imputation with Scikit-learn.srt
3.01 KB
4. Missing Data Imputation/13. Missing category imputation with Scikit-learn.vtt
2.7 KB
4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.mp4
35.67 MB
4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.srt
4.69 KB
4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.vtt
4.15 KB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4
80.35 MB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.srt
9.03 KB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.vtt
7.98 KB
4. Missing Data Imputation/16. Introduction to Feature-engine.mp4
40.48 MB
4. Missing Data Imputation/16. Introduction to Feature-engine.srt
6.43 KB
4. Missing Data Imputation/16. Introduction to Feature-engine.vtt
5.71 KB
4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.mp4
38.64 MB
4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.srt
5.09 KB
4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.vtt
4.52 KB
4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.mp4
26.75 MB
4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.srt
3.26 KB
4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.vtt
2.92 KB
4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.mp4
38.87 MB
4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.srt
5.26 KB
4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.vtt
4.69 KB
4. Missing Data Imputation/2. Complete Case Analysis.mp4
46.67 MB
4. Missing Data Imputation/2. Complete Case Analysis.srt
8.53 KB
4. Missing Data Imputation/2. Complete Case Analysis.vtt
7.55 KB
4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.mp4
16.15 MB
4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.srt
2.07 KB
4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.vtt
1.84 KB
4. Missing Data Imputation/21. Missing category imputation with Feature-engine.mp4
20.42 MB
4. Missing Data Imputation/21. Missing category imputation with Feature-engine.srt
2.52 KB
4. Missing Data Imputation/21. Missing category imputation with Feature-engine.vtt
2.25 KB
4. Missing Data Imputation/22. Random sample imputation with Feature-engine.mp4
16.09 MB
4. Missing Data Imputation/22. Random sample imputation with Feature-engine.srt
2.3 KB
4. Missing Data Imputation/22. Random sample imputation with Feature-engine.vtt
2.03 KB
4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.mp4
25.9 MB
4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.srt
3.91 KB
4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.vtt
3.47 KB
4. Missing Data Imputation/24. Overview of missing value imputation methods.html
140 B
4. Missing Data Imputation/24.1 NA_methods_Comparison.pdf.pdf
273.81 KB
4. Missing Data Imputation/25. Conclusion when to use each missing data imputation method.html
2.66 KB
4. Missing Data Imputation/3. Mean or median imputation.mp4
52.15 MB
4. Missing Data Imputation/3. Mean or median imputation.srt
10.29 KB
4. Missing Data Imputation/3. Mean or median imputation.vtt
9.11 KB
4. Missing Data Imputation/4. Arbitrary value imputation.mp4
40.09 MB
4. Missing Data Imputation/4. Arbitrary value imputation.srt
8.42 KB
4. Missing Data Imputation/4. Arbitrary value imputation.vtt
7.48 KB
4. Missing Data Imputation/5. End of distribution imputation.mp4
28.11 MB
4. Missing Data Imputation/5. End of distribution imputation.srt
6.02 KB
4. Missing Data Imputation/5. End of distribution imputation.vtt
5.36 KB
4. Missing Data Imputation/6. Frequent category imputation.mp4
49.77 MB
4. Missing Data Imputation/6. Frequent category imputation.srt
8.22 KB
4. Missing Data Imputation/6. Frequent category imputation.vtt
7.33 KB
4. Missing Data Imputation/7. Missing category imputation.mp4
28.17 MB
4. Missing Data Imputation/7. Missing category imputation.srt
4.82 KB
4. Missing Data Imputation/7. Missing category imputation.vtt
4.31 KB
4. Missing Data Imputation/8. Random sample imputation.mp4
102.66 MB
4. Missing Data Imputation/8. Random sample imputation.srt
17.65 KB
4. Missing Data Imputation/8. Random sample imputation.vtt
15.59 KB
4. Missing Data Imputation/9. Adding a missing indicator.mp4
31.09 MB
4. Missing Data Imputation/9. Adding a missing indicator.srt
6.55 KB
4. Missing Data Imputation/9. Adding a missing indicator.vtt
5.81 KB
5. Multivariate Missing Data Imputation/1. Multivariate Imputation - COMING IN 2020.html
105 B
6. Categorical Variable Encoding/1. Categorical encoding Introduction.mp4
34.03 MB
6. Categorical Variable Encoding/1. Categorical encoding Introduction.srt
7.93 KB
6. Categorical Variable Encoding/1. Categorical encoding Introduction.vtt
7.11 KB
6. Categorical Variable Encoding/10. Target guided ordinal encoding.mp4
12.87 MB
6. Categorical Variable Encoding/10. Target guided ordinal encoding.srt
3.43 KB
6. Categorical Variable Encoding/10. Target guided ordinal encoding.vtt
3.05 KB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.mp4
68.75 MB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.srt
9.39 KB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.vtt
8.36 KB
6. Categorical Variable Encoding/12. Mean encoding.mp4
12.84 MB
6. Categorical Variable Encoding/12. Mean encoding.srt
2.92 KB
6. Categorical Variable Encoding/12. Mean encoding.vtt
2.61 KB
6. Categorical Variable Encoding/13. Mean encoding Demo.mp4
42.05 MB
6. Categorical Variable Encoding/13. Mean encoding Demo.srt
6.36 KB
6. Categorical Variable Encoding/13. Mean encoding Demo.vtt
5.67 KB
6. Categorical Variable Encoding/14. Probability ratio encoding.mp4
45.65 MB
6. Categorical Variable Encoding/14. Probability ratio encoding.srt
7.15 KB
6. Categorical Variable Encoding/14. Probability ratio encoding.vtt
6.3 KB
6. Categorical Variable Encoding/15. Weight of evidence (WoE).mp4
20.56 MB
6. Categorical Variable Encoding/15. Weight of evidence (WoE).srt
5.09 KB
6. Categorical Variable Encoding/15. Weight of evidence (WoE).vtt
4.53 KB
6. Categorical Variable Encoding/16. Weight of Evidence Demo.mp4
45.11 MB
6. Categorical Variable Encoding/16. Weight of Evidence Demo.srt
7.97 KB
6. Categorical Variable Encoding/16. Weight of Evidence Demo.vtt
7.11 KB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4
78.44 MB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.srt
12.37 KB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.vtt
10.93 KB
6. Categorical Variable Encoding/18. Rare label encoding.mp4
23.31 MB
6. Categorical Variable Encoding/18. Rare label encoding.srt
5.16 KB
6. Categorical Variable Encoding/18. Rare label encoding.vtt
4.59 KB
6. Categorical Variable Encoding/19. Rare label encoding Demo.mp4
69.43 MB
6. Categorical Variable Encoding/19. Rare label encoding Demo.srt
12.01 KB
6. Categorical Variable Encoding/19. Rare label encoding Demo.vtt
10.66 KB
6. Categorical Variable Encoding/2. One hot encoding.mp4
31.75 MB
6. Categorical Variable Encoding/2. One hot encoding.srt
6.97 KB
6. Categorical Variable Encoding/2. One hot encoding.vtt
6.2 KB
6. Categorical Variable Encoding/20. Binary encoding and feature hashing.mp4
30.9 MB
6. Categorical Variable Encoding/20. Binary encoding and feature hashing.srt
7.55 KB
6. Categorical Variable Encoding/20. Binary encoding and feature hashing.vtt
6.69 KB
6. Categorical Variable Encoding/21. Bonus Additional reading resources.html
2.42 KB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4
91.4 MB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.srt
17.55 KB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.vtt
15.48 KB
6. Categorical Variable Encoding/4. One hot encoding of top categories.mp4
18.1 MB
6. Categorical Variable Encoding/4. One hot encoding of top categories.srt
3.34 KB
6. Categorical Variable Encoding/4. One hot encoding of top categories.vtt
2.98 KB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4
57.26 MB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.srt
9.68 KB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.vtt
8.58 KB
6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.mp4
9.42 MB
6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.srt
2.08 KB
6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.vtt
1.85 KB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4
57.48 MB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.srt
9.33 KB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.vtt
8.33 KB
6. Categorical Variable Encoding/8. Count or frequency encoding.mp4
15.73 MB
6. Categorical Variable Encoding/8. Count or frequency encoding.srt
3.76 KB
6. Categorical Variable Encoding/8. Count or frequency encoding.vtt
3.35 KB
6. Categorical Variable Encoding/9. Count encoding Demo.mp4
32.53 MB
6. Categorical Variable Encoding/9. Count encoding Demo.srt
4.93 KB
6. Categorical Variable Encoding/9. Count encoding Demo.vtt
4.42 KB
7. Variable Transformation/1. Variable Transformation Introduction.mp4
18.66 MB
7. Variable Transformation/1. Variable Transformation Introduction.srt
5.48 KB
7. Variable Transformation/1. Variable Transformation Introduction.vtt
4.93 KB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.mp4
49.41 MB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.srt
8.49 KB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.vtt
7.56 KB
7. Variable Transformation/3. variable Transformation with Scikit-learn.mp4
47.1 MB
7. Variable Transformation/3. variable Transformation with Scikit-learn.srt
7.58 KB
7. Variable Transformation/3. variable Transformation with Scikit-learn.vtt
6.8 KB
7. Variable Transformation/4. Variable transformation with Feature-engine.mp4
23.69 MB
7. Variable Transformation/4. Variable transformation with Feature-engine.srt
3.99 KB
7. Variable Transformation/4. Variable transformation with Feature-engine.vtt
3.59 KB
8. Discretisation/1. Discretisation Introduction.mp4
15.45 MB
8. Discretisation/1. Discretisation Introduction.srt
3.41 KB
8. Discretisation/1. Discretisation Introduction.vtt
3.04 KB
8. Discretisation/10. Discretisation with classification trees.mp4
26.58 MB
8. Discretisation/10. Discretisation with classification trees.srt
5.46 KB
8. Discretisation/10. Discretisation with classification trees.vtt
4.89 KB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4
80.16 MB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.srt
13.08 KB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.vtt
11.62 KB
8. Discretisation/12. Discretisation with decision trees using Feature-engine.mp4
28.38 MB
8. Discretisation/12. Discretisation with decision trees using Feature-engine.srt
3.9 KB
8. Discretisation/12. Discretisation with decision trees using Feature-engine.vtt
3.48 KB
8. Discretisation/13. Domain knowledge discretisation.mp4
25.67 MB
8. Discretisation/13. Domain knowledge discretisation.srt
4.08 KB
8. Discretisation/13. Domain knowledge discretisation.vtt
3.61 KB
8. Discretisation/14. Bonus Additional reading resources.html
1.41 KB
8. Discretisation/14.1 15.5_Bonus_Additional_reading_resources.zip.zip
1.03 KB
8. Discretisation/2. Equal-width discretisation.mp4
21.54 MB
8. Discretisation/2. Equal-width discretisation.srt
4.38 KB
8. Discretisation/2. Equal-width discretisation.vtt
3.91 KB
8. Discretisation/3. Equal-width discretisation Demo.mp4
79.1 MB
8. Discretisation/3. Equal-width discretisation Demo.srt
12.52 KB
8. Discretisation/3. Equal-width discretisation Demo.vtt
11.05 KB
8. Discretisation/4. Equal-frequency discretisation.mp4
22.49 MB
8. Discretisation/4. Equal-frequency discretisation.srt
4.68 KB
8. Discretisation/4. Equal-frequency discretisation.vtt
4.16 KB
8. Discretisation/5. Equal-frequency discretisation Demo.mp4
47.29 MB
8. Discretisation/5. Equal-frequency discretisation Demo.srt
7.67 KB
8. Discretisation/5. Equal-frequency discretisation Demo.vtt
6.85 KB
8. Discretisation/6. K-means discretisation.mp4
18.87 MB
8. Discretisation/6. K-means discretisation.srt
4.73 KB
8. Discretisation/6. K-means discretisation.vtt
4.17 KB
8. Discretisation/7. K-means discretisation Demo.mp4
18.83 MB
8. Discretisation/7. K-means discretisation Demo.srt
3.23 KB
8. Discretisation/7. K-means discretisation Demo.vtt
2.85 KB
8. Discretisation/8. Discretisation plus categorical encoding.mp4
13.31 MB
8. Discretisation/8. Discretisation plus categorical encoding.srt
2.76 KB
8. Discretisation/8. Discretisation plus categorical encoding.vtt
2.48 KB
8. Discretisation/9. Discretisation plus encoding Demo.mp4
36.22 MB
8. Discretisation/9. Discretisation plus encoding Demo.srt
6.55 KB
8. Discretisation/9. Discretisation plus encoding Demo.vtt
5.8 KB
9. Outlier Handling/1. Outlier Engineering Intro.mp4
41.97 MB
9. Outlier Handling/1. Outlier Engineering Intro.srt
7.7 KB
9. Outlier Handling/1. Outlier Engineering Intro.vtt
6.87 KB
9. Outlier Handling/2. Outlier trimming.mp4
51.09 MB
9. Outlier Handling/2. Outlier trimming.srt
8.33 KB
9. Outlier Handling/2. Outlier trimming.vtt
7.39 KB
9. Outlier Handling/3. Outlier capping with IQR.mp4
43.57 MB
9. Outlier Handling/3. Outlier capping with IQR.srt
6.75 KB
9. Outlier Handling/3. Outlier capping with IQR.vtt
6.03 KB
9. Outlier Handling/4. Outlier capping with mean and std.mp4
34.58 MB
9. Outlier Handling/4. Outlier capping with mean and std.srt
4.81 KB
9. Outlier Handling/4. Outlier capping with mean and std.vtt
4.31 KB
9. Outlier Handling/5. Outlier capping with quantiles.mp4
24.44 MB
9. Outlier Handling/5. Outlier capping with quantiles.srt
3.5 KB
9. Outlier Handling/5. Outlier capping with quantiles.vtt
3.17 KB
9. Outlier Handling/6. Arbitrary capping.mp4
19.69 MB
9. Outlier Handling/6. Arbitrary capping.srt
3.82 KB
9. Outlier Handling/6. Arbitrary capping.vtt
3.41 KB
9. Outlier Handling/7. Additional reading resources.html
387 B
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