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

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1. Introduction/1. Introduction.mp4
33 MB
1. Introduction/1. Introduction.srt
6.8 kB
1. Introduction/1. Introduction.vtt
6.1 kB
1. Introduction/2. Course curriculum overview.mp4
33 MB
1. Introduction/2. Course curriculum overview.srt
7.2 kB
1. Introduction/2. Course curriculum overview.vtt
6.5 kB
1. Introduction/3. Course requirements.mp4
11 MB
1. Introduction/3. Course requirements.srt
4.1 kB
1. Introduction/3. Course requirements.vtt
3.7 kB
1. Introduction/4. How to approach this course.html
1.8 kB
1. Introduction/5. Setting up your computer.html
3.5 kB
1. Introduction/6. Download Jupyter notebooks.html
1.3 kB
1. Introduction/6.1 HandsOnPythonCode.zip.zip
9.2 MB
1. Introduction/7. Download datasets.html
2.0 kB
1. Introduction/8. Download course presentations.html
764 B
1. Introduction/8.1 FeatureEngineeringSlides.zip.zip
30 MB
1. Introduction/9. FAQ Data Science, Python programming, datasets, presentations and more....html
1.6 kB
10. Feature Scaling/1. Feature scaling Introduction.mp4
21 MB
10. Feature Scaling/1. Feature scaling Introduction.srt
4.6 kB
10. Feature Scaling/1. Feature scaling Introduction.vtt
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10. Feature Scaling/10. Scaling to median and quantiles.mp4
13 MB
10. Feature Scaling/10. Scaling to median and quantiles.srt
3.1 kB
10. Feature Scaling/10. Scaling to median and quantiles.vtt
2.8 kB
10. Feature Scaling/11. Robust Scaling Demo.mp4
17 MB
10. Feature Scaling/11. Robust Scaling Demo.srt
2.4 kB
10. Feature Scaling/11. Robust Scaling Demo.vtt
2.2 kB
10. Feature Scaling/12. Scaling to vector unit length.mp4
32 MB
10. Feature Scaling/12. Scaling to vector unit length.srt
6.6 kB
10. Feature Scaling/12. Scaling to vector unit length.vtt
5.9 kB
10. Feature Scaling/13. Scaling to vector unit length Demo.mp4
46 MB
10. Feature Scaling/13. Scaling to vector unit length Demo.srt
6.0 kB
10. Feature Scaling/13. Scaling to vector unit length Demo.vtt
5.4 kB
10. Feature Scaling/14. Additional reading resources.html
1.3 kB
10. Feature Scaling/2. Standardisation.mp4
26 MB
10. Feature Scaling/2. Standardisation.srt
6.6 kB
10. Feature Scaling/2. Standardisation.vtt
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10. Feature Scaling/3. Standardisation Demo.mp4
42 MB
10. Feature Scaling/3. Standardisation Demo.srt
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10. Feature Scaling/3. Standardisation Demo.vtt
4.9 kB
10. Feature Scaling/4. Mean normalisation.mp4
20 MB
10. Feature Scaling/4. Mean normalisation.srt
4.9 kB
10. Feature Scaling/4. Mean normalisation.vtt
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10. Feature Scaling/5. Mean normalisation Demo.mp4
45 MB
10. Feature Scaling/5. Mean normalisation Demo.srt
6.2 kB
10. Feature Scaling/5. Mean normalisation Demo.vtt
5.5 kB
10. Feature Scaling/6. Scaling to minimum and maximum values.mp4
17 MB
10. Feature Scaling/6. Scaling to minimum and maximum values.srt
3.8 kB
10. Feature Scaling/6. Scaling to minimum and maximum values.vtt
3.4 kB
10. Feature Scaling/7. MinMaxScaling Demo.mp4
26 MB
10. Feature Scaling/7. MinMaxScaling Demo.srt
3.5 kB
10. Feature Scaling/7. MinMaxScaling Demo.vtt
3.1 kB
10. Feature Scaling/8. Maximum absolute scaling.mp4
15 MB
10. Feature Scaling/8. Maximum absolute scaling.srt
3.3 kB
10. Feature Scaling/8. Maximum absolute scaling.vtt
2.9 kB
10. Feature Scaling/9. MaxAbsScaling Demo.mp4
32 MB
10. Feature Scaling/9. MaxAbsScaling Demo.srt
4.6 kB
10. Feature Scaling/9. MaxAbsScaling Demo.vtt
4.0 kB
11. Engineering mixed variables/1. Engineering mixed variables.mp4
15 MB
11. Engineering mixed variables/1. Engineering mixed variables.srt
4.0 kB
11. Engineering mixed variables/1. Engineering mixed variables.vtt
3.6 kB
11. Engineering mixed variables/2. Engineering mixed variables Demo.mp4
46 MB
11. Engineering mixed variables/2. Engineering mixed variables Demo.srt
7.2 kB
11. Engineering mixed variables/2. Engineering mixed variables Demo.vtt
6.5 kB
12. Engineering datetime variables/1. Engineering datetime variables.mp4
23 MB
12. Engineering datetime variables/1. Engineering datetime variables.srt
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12. Engineering datetime variables/1. Engineering datetime variables.vtt
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12. Engineering datetime variables/2. Engineering dates Demo.mp4
54 MB
12. Engineering datetime variables/2. Engineering dates Demo.srt
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12. Engineering datetime variables/2. Engineering dates Demo.vtt
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12. Engineering datetime variables/3. Engineering time variables and different timezones.mp4
34 MB
12. Engineering datetime variables/3. Engineering time variables and different timezones.srt
5.4 kB
12. Engineering datetime variables/3. Engineering time variables and different timezones.vtt
4.7 kB
13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4
136 MB
13. Assembling a feature engineering pipeline/1. Classification pipeline.srt
16 kB
13. Assembling a feature engineering pipeline/1. Classification pipeline.vtt
14 kB
13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4
158 MB
13. Assembling a feature engineering pipeline/2. Regression pipeline.srt
17 kB
13. Assembling a feature engineering pipeline/2. Regression pipeline.vtt
15 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
1.0 kB
2. Variable Types/1. Variables Intro.mp4
15 MB
2. Variable Types/1. Variables Intro.srt
3.5 kB
2. Variable Types/1. Variables Intro.vtt
3.1 kB
2. Variable Types/2. Numerical variables.mp4
27 MB
2. Variable Types/2. Numerical variables.srt
6.7 kB
2. Variable Types/2. Numerical variables.vtt
6.0 kB
2. Variable Types/3. Categorical variables.mp4
18 MB
2. Variable Types/3. Categorical variables.srt
4.6 kB
2. Variable Types/3. Categorical variables.vtt
4.1 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
2.1 kB
2. Variable Types/5. Mixed variables.mp4
11 MB
2. Variable Types/5. Mixed variables.srt
2.9 kB
2. Variable Types/5. Mixed variables.vtt
2.6 kB
2. Variable Types/5.1 sample_s2.csv.csv
9.9 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
21 MB
3. Variable Characteristics/1. Variable characteristics.srt
3.6 kB
3. Variable Characteristics/1. Variable characteristics.vtt
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3. Variable Characteristics/10. Bonus Additional reading resources.html
4.7 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 MB
3. Variable Characteristics/2. Missing data.srt
9.0 kB
3. Variable Characteristics/2. Missing data.vtt
7.9 kB
3. Variable Characteristics/3. Cardinality - categorical variables.mp4
31 MB
3. Variable Characteristics/3. Cardinality - categorical variables.srt
6.3 kB
3. Variable Characteristics/3. Cardinality - categorical variables.vtt
5.6 kB
3. Variable Characteristics/4. Rare Labels - categorical variables.mp4
34 MB
3. Variable Characteristics/4. Rare Labels - categorical variables.srt
6.1 kB
3. Variable Characteristics/4. Rare Labels - categorical variables.vtt
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3. Variable Characteristics/5. Linear models assumptions.mp4
69 MB
3. Variable Characteristics/5. Linear models assumptions.srt
12 kB
3. Variable Characteristics/5. Linear models assumptions.vtt
10 kB
3. Variable Characteristics/6. Variable distribution.mp4
33 MB
3. Variable Characteristics/6. Variable distribution.srt
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3. Variable Characteristics/6. Variable distribution.vtt
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3. Variable Characteristics/7. Outliers.mp4
48 MB
3. Variable Characteristics/7. Outliers.srt
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3. Variable Characteristics/7. Outliers.vtt
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3. Variable Characteristics/8. Variable magnitude.mp4
20 MB
3. Variable Characteristics/8. Variable magnitude.srt
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3. Variable Characteristics/8. Variable magnitude.vtt
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3. Variable Characteristics/9. Bonus Machine learning algorithms overview.html
140 B
3. Variable Characteristics/9.1 ML_Comparison.pdf.pdf
298 kB
4. Missing Data Imputation/1. Introduction to missing data imputation.mp4
29 MB
4. Missing Data Imputation/1. Introduction to missing data imputation.srt
5.2 kB
4. Missing Data Imputation/1. Introduction to missing data imputation.vtt
4.7 kB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4
88 MB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.srt
13 kB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.vtt
11 kB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4
52 MB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.srt
6.5 kB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.vtt
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4. Missing Data Imputation/12. Frequent category imputation with Scikit-learn.mp4
34 MB
4. Missing Data Imputation/12. Frequent category imputation with Scikit-learn.srt
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4. Missing Data Imputation/12. Frequent category imputation with Scikit-learn.vtt
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4. Missing Data Imputation/13. Missing category imputation with Scikit-learn.mp4
25 MB
4. Missing Data Imputation/13. Missing category imputation with Scikit-learn.srt
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4. Missing Data Imputation/13. Missing category imputation with Scikit-learn.vtt
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4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.mp4
36 MB
4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.srt
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4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.vtt
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4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4
80 MB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.srt
9.0 kB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.vtt
8.0 kB
4. Missing Data Imputation/16. Introduction to Feature-engine.mp4
40 MB
4. Missing Data Imputation/16. Introduction to Feature-engine.srt
6.4 kB
4. Missing Data Imputation/16. Introduction to Feature-engine.vtt
5.7 kB
4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.mp4
39 MB
4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.srt
5.1 kB
4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.vtt
4.5 kB
4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.mp4
27 MB
4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.srt
3.3 kB
4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.vtt
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4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.mp4
39 MB
4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.srt
5.3 kB
4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.vtt
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4. Missing Data Imputation/2. Complete Case Analysis.mp4
47 MB
4. Missing Data Imputation/2. Complete Case Analysis.srt
8.5 kB
4. Missing Data Imputation/2. Complete Case Analysis.vtt
7.6 kB
4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.mp4
16 MB
4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.srt
2.1 kB
4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.vtt
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4. Missing Data Imputation/21. Missing category imputation with Feature-engine.mp4
20 MB
4. Missing Data Imputation/21. Missing category imputation with Feature-engine.srt
2.5 kB
4. Missing Data Imputation/21. Missing category imputation with Feature-engine.vtt
2.3 kB
4. Missing Data Imputation/22. Random sample imputation with Feature-engine.mp4
16 MB
4. Missing Data Imputation/22. Random sample imputation with Feature-engine.srt
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4. Missing Data Imputation/22. Random sample imputation with Feature-engine.vtt
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4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.mp4
26 MB
4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.srt
3.9 kB
4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.vtt
3.5 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
274 kB
4. Missing Data Imputation/25. Conclusion when to use each missing data imputation method.html
2.7 kB
4. Missing Data Imputation/3. Mean or median imputation.mp4
52 MB
4. Missing Data Imputation/3. Mean or median imputation.srt
10 kB
4. Missing Data Imputation/3. Mean or median imputation.vtt
9.1 kB
4. Missing Data Imputation/4. Arbitrary value imputation.mp4
40 MB
4. Missing Data Imputation/4. Arbitrary value imputation.srt
8.4 kB
4. Missing Data Imputation/4. Arbitrary value imputation.vtt
7.5 kB
4. Missing Data Imputation/5. End of distribution imputation.mp4
28 MB
4. Missing Data Imputation/5. End of distribution imputation.srt
6.0 kB
4. Missing Data Imputation/5. End of distribution imputation.vtt
5.4 kB
4. Missing Data Imputation/6. Frequent category imputation.mp4
50 MB
4. Missing Data Imputation/6. Frequent category imputation.srt
8.2 kB
4. Missing Data Imputation/6. Frequent category imputation.vtt
7.3 kB
4. Missing Data Imputation/7. Missing category imputation.mp4
28 MB
4. Missing Data Imputation/7. Missing category imputation.srt
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4. Missing Data Imputation/7. Missing category imputation.vtt
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4. Missing Data Imputation/8. Random sample imputation.mp4
103 MB
4. Missing Data Imputation/8. Random sample imputation.srt
18 kB
4. Missing Data Imputation/8. Random sample imputation.vtt
16 kB
4. Missing Data Imputation/9. Adding a missing indicator.mp4
31 MB
4. Missing Data Imputation/9. Adding a missing indicator.srt
6.5 kB
4. Missing Data Imputation/9. Adding a missing indicator.vtt
5.8 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 MB
6. Categorical Variable Encoding/1. Categorical encoding Introduction.srt
7.9 kB
6. Categorical Variable Encoding/1. Categorical encoding Introduction.vtt
7.1 kB
6. Categorical Variable Encoding/10. Target guided ordinal encoding.mp4
13 MB
6. Categorical Variable Encoding/10. Target guided ordinal encoding.srt
3.4 kB
6. Categorical Variable Encoding/10. Target guided ordinal encoding.vtt
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6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.mp4
69 MB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.srt
9.4 kB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.vtt
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6. Categorical Variable Encoding/12. Mean encoding.mp4
13 MB
6. Categorical Variable Encoding/12. Mean encoding.srt
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6. Categorical Variable Encoding/12. Mean encoding.vtt
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6. Categorical Variable Encoding/13. Mean encoding Demo.mp4
42 MB
6. Categorical Variable Encoding/13. Mean encoding Demo.srt
6.4 kB
6. Categorical Variable Encoding/13. Mean encoding Demo.vtt
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6. Categorical Variable Encoding/14. Probability ratio encoding.mp4
46 MB
6. Categorical Variable Encoding/14. Probability ratio encoding.srt
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6. Categorical Variable Encoding/14. Probability ratio encoding.vtt
6.3 kB
6. Categorical Variable Encoding/15. Weight of evidence (WoE).mp4
21 MB
6. Categorical Variable Encoding/15. Weight of evidence (WoE).srt
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6. Categorical Variable Encoding/15. Weight of evidence (WoE).vtt
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6. Categorical Variable Encoding/16. Weight of Evidence Demo.mp4
45 MB
6. Categorical Variable Encoding/16. Weight of Evidence Demo.srt
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6. Categorical Variable Encoding/16. Weight of Evidence Demo.vtt
7.1 kB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4
78 MB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.srt
12 kB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.vtt
11 kB
6. Categorical Variable Encoding/18. Rare label encoding.mp4
23 MB
6. Categorical Variable Encoding/18. Rare label encoding.srt
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6. Categorical Variable Encoding/18. Rare label encoding.vtt
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6. Categorical Variable Encoding/19. Rare label encoding Demo.mp4
69 MB
6. Categorical Variable Encoding/19. Rare label encoding Demo.srt
12 kB
6. Categorical Variable Encoding/19. Rare label encoding Demo.vtt
11 kB
6. Categorical Variable Encoding/2. One hot encoding.mp4
32 MB
6. Categorical Variable Encoding/2. One hot encoding.srt
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6. Categorical Variable Encoding/2. One hot encoding.vtt
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6. Categorical Variable Encoding/20. Binary encoding and feature hashing.mp4
31 MB
6. Categorical Variable Encoding/20. Binary encoding and feature hashing.srt
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6. Categorical Variable Encoding/20. Binary encoding and feature hashing.vtt
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6. Categorical Variable Encoding/21. Bonus Additional reading resources.html
2.4 kB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4
91 MB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.srt
18 kB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.vtt
16 kB
6. Categorical Variable Encoding/4. One hot encoding of top categories.mp4
18 MB
6. Categorical Variable Encoding/4. One hot encoding of top categories.srt
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6. Categorical Variable Encoding/4. One hot encoding of top categories.vtt
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6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4
57 MB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.srt
9.7 kB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.vtt
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6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.mp4
9.4 MB
6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.srt
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6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.vtt
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6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4
58 MB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.srt
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6. Categorical Variable Encoding/7. Ordinal encoding Demo.vtt
8.3 kB
6. Categorical Variable Encoding/8. Count or frequency encoding.mp4
16 MB
6. Categorical Variable Encoding/8. Count or frequency encoding.srt
3.8 kB
6. Categorical Variable Encoding/8. Count or frequency encoding.vtt
3.4 kB
6. Categorical Variable Encoding/9. Count encoding Demo.mp4
32 MB
6. Categorical Variable Encoding/9. Count encoding Demo.srt
4.9 kB
6. Categorical Variable Encoding/9. Count encoding Demo.vtt
4.4 kB
7. Variable Transformation/1. Variable Transformation Introduction.mp4
19 MB
7. Variable Transformation/1. Variable Transformation Introduction.srt
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7. Variable Transformation/1. Variable Transformation Introduction.vtt
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7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.mp4
49 MB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.srt
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7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.vtt
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7. Variable Transformation/3. variable Transformation with Scikit-learn.mp4
47 MB
7. Variable Transformation/3. variable Transformation with Scikit-learn.srt
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7. Variable Transformation/3. variable Transformation with Scikit-learn.vtt
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7. Variable Transformation/4. Variable transformation with Feature-engine.mp4
24 MB
7. Variable Transformation/4. Variable transformation with Feature-engine.srt
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7. Variable Transformation/4. Variable transformation with Feature-engine.vtt
3.6 kB
8. Discretisation/1. Discretisation Introduction.mp4
15 MB
8. Discretisation/1. Discretisation Introduction.srt
3.4 kB
8. Discretisation/1. Discretisation Introduction.vtt
3.0 kB
8. Discretisation/10. Discretisation with classification trees.mp4
27 MB
8. Discretisation/10. Discretisation with classification trees.srt
5.5 kB
8. Discretisation/10. Discretisation with classification trees.vtt
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8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4
80 MB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.srt
13 kB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.vtt
12 kB
8. Discretisation/12. Discretisation with decision trees using Feature-engine.mp4
28 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
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8. Discretisation/13. Domain knowledge discretisation.mp4
26 MB
8. Discretisation/13. Domain knowledge discretisation.srt
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8. Discretisation/13. Domain knowledge discretisation.vtt
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8. Discretisation/14. Bonus Additional reading resources.html
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8. Discretisation/14.1 15.5_Bonus_Additional_reading_resources.zip.zip
1.0 kB
8. Discretisation/2. Equal-width discretisation.mp4
22 MB
8. Discretisation/2. Equal-width discretisation.srt
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8. Discretisation/2. Equal-width discretisation.vtt
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8. Discretisation/3. Equal-width discretisation Demo.mp4
79 MB
8. Discretisation/3. Equal-width discretisation Demo.srt
12 kB
8. Discretisation/3. Equal-width discretisation Demo.vtt
11 kB
8. Discretisation/4. Equal-frequency discretisation.mp4
22 MB
8. Discretisation/4. Equal-frequency discretisation.srt
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8. Discretisation/4. Equal-frequency discretisation.vtt
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8. Discretisation/5. Equal-frequency discretisation Demo.mp4
47 MB
8. Discretisation/5. Equal-frequency discretisation Demo.srt
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8. Discretisation/5. Equal-frequency discretisation Demo.vtt
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8. Discretisation/6. K-means discretisation.mp4
19 MB
8. Discretisation/6. K-means discretisation.srt
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8. Discretisation/6. K-means discretisation.vtt
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8. Discretisation/7. K-means discretisation Demo.mp4
19 MB
8. Discretisation/7. K-means discretisation Demo.srt
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8. Discretisation/7. K-means discretisation Demo.vtt
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8. Discretisation/8. Discretisation plus categorical encoding.mp4
13 MB
8. Discretisation/8. Discretisation plus categorical encoding.srt
2.8 kB
8. Discretisation/8. Discretisation plus categorical encoding.vtt
2.5 kB
8. Discretisation/9. Discretisation plus encoding Demo.mp4
36 MB
8. Discretisation/9. Discretisation plus encoding Demo.srt
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8. Discretisation/9. Discretisation plus encoding Demo.vtt
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9. Outlier Handling/1. Outlier Engineering Intro.mp4
42 MB
9. Outlier Handling/1. Outlier Engineering Intro.srt
7.7 kB
9. Outlier Handling/1. Outlier Engineering Intro.vtt
6.9 kB
9. Outlier Handling/2. Outlier trimming.mp4
51 MB
9. Outlier Handling/2. Outlier trimming.srt
8.3 kB
9. Outlier Handling/2. Outlier trimming.vtt
7.4 kB
9. Outlier Handling/3. Outlier capping with IQR.mp4
44 MB
9. Outlier Handling/3. Outlier capping with IQR.srt
6.8 kB
9. Outlier Handling/3. Outlier capping with IQR.vtt
6.0 kB
9. Outlier Handling/4. Outlier capping with mean and std.mp4
35 MB
9. Outlier Handling/4. Outlier capping with mean and std.srt
4.8 kB
9. Outlier Handling/4. Outlier capping with mean and std.vtt
4.3 kB
9. Outlier Handling/5. Outlier capping with quantiles.mp4
24 MB
9. Outlier Handling/5. Outlier capping with quantiles.srt
3.5 kB
9. Outlier Handling/5. Outlier capping with quantiles.vtt
3.2 kB
9. Outlier Handling/6. Arbitrary capping.mp4
20 MB
9. Outlier Handling/6. Arbitrary capping.srt
3.8 kB
9. Outlier Handling/6. Arbitrary capping.vtt
3.4 kB
9. Outlier Handling/7. Additional reading resources.html
387 B