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

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1. Introduction/1. Introduction.mp4

32.86MB

1. Introduction/1. Introduction.srt

6.81KB

1. Introduction/1. Introduction.vtt

6.06KB

1. Introduction/2. Course curriculum overview.mp4

33.37MB

1. Introduction/2. Course curriculum overview.srt

7.24KB

1. Introduction/2. Course curriculum overview.vtt

6.46KB

1. Introduction/3. Course requirements.mp4

10.64MB

1. Introduction/3. Course requirements.srt

4.1KB

1. Introduction/3. Course requirements.vtt

3.66KB

1. Introduction/4. How to approach this course.html

1.76KB

1. Introduction/5. Setting up your computer.html

3.52KB

1. Introduction/6. Download Jupyter notebooks.html

1.26KB

1. Introduction/6.1 HandsOnPythonCode.zip.zip

9.24MB

1. Introduction/7. Download datasets.html

1.97KB

1. Introduction/8. Download course presentations.html

764B

1. Introduction/8.1 FeatureEngineeringSlides.zip.zip

29.59MB

1. Introduction/9. FAQ Data Science, Python programming, datasets, presentations and more....html

1.64KB

10. Feature Scaling/1. Feature scaling Introduction.mp4

20.6MB

10. Feature Scaling/1. Feature scaling Introduction.srt

4.55KB

10. Feature Scaling/1. Feature scaling Introduction.vtt

4.07KB

10. Feature Scaling/10. Scaling to median and quantiles.mp4

13.01MB

10. Feature Scaling/10. Scaling to median and quantiles.srt

3.15KB

10. Feature Scaling/10. Scaling to median and quantiles.vtt

2.82KB

10. Feature Scaling/11. Robust Scaling Demo.mp4

16.55MB

10. Feature Scaling/11. Robust Scaling Demo.srt

2.43KB

10. Feature Scaling/11. Robust Scaling Demo.vtt

2.17KB

10. Feature Scaling/12. Scaling to vector unit length.mp4

31.94MB

10. Feature Scaling/12. Scaling to vector unit length.srt

6.64KB

10. Feature Scaling/12. Scaling to vector unit length.vtt

5.88KB

10. Feature Scaling/13. Scaling to vector unit length Demo.mp4

46.31MB

10. Feature Scaling/13. Scaling to vector unit length Demo.srt

6.01KB

10. Feature Scaling/13. Scaling to vector unit length Demo.vtt

5.35KB

10. Feature Scaling/14. Additional reading resources.html

1.34KB

10. Feature Scaling/2. Standardisation.mp4

26.51MB

10. Feature Scaling/2. Standardisation.srt

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10. Feature Scaling/2. Standardisation.vtt

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10. Feature Scaling/3. Standardisation Demo.mp4

41.62MB

10. Feature Scaling/3. Standardisation Demo.srt

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10. Feature Scaling/3. Standardisation Demo.vtt

4.93KB

10. Feature Scaling/4. Mean normalisation.mp4

19.81MB

10. Feature Scaling/4. Mean normalisation.srt

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10. Feature Scaling/4. Mean normalisation.vtt

4.4KB

10. Feature Scaling/5. Mean normalisation Demo.mp4

45.08MB

10. Feature Scaling/5. Mean normalisation Demo.srt

6.19KB

10. Feature Scaling/5. Mean normalisation Demo.vtt

5.51KB

10. Feature Scaling/6. Scaling to minimum and maximum values.mp4

17.08MB

10. Feature Scaling/6. Scaling to minimum and maximum values.srt

3.81KB

10. Feature Scaling/6. Scaling to minimum and maximum values.vtt

3.39KB

10. Feature Scaling/7. MinMaxScaling Demo.mp4

25.89MB

10. Feature Scaling/7. MinMaxScaling Demo.srt

3.47KB

10. Feature Scaling/7. MinMaxScaling Demo.vtt

3.11KB

10. Feature Scaling/8. Maximum absolute scaling.mp4

14.6MB

10. Feature Scaling/8. Maximum absolute scaling.srt

3.29KB

10. Feature Scaling/8. Maximum absolute scaling.vtt

2.94KB

10. Feature Scaling/9. MaxAbsScaling Demo.mp4

31.47MB

10. Feature Scaling/9. MaxAbsScaling Demo.srt

4.56KB

10. Feature Scaling/9. MaxAbsScaling Demo.vtt

4.05KB

11. Engineering mixed variables/1. Engineering mixed variables.mp4

15.27MB

11. Engineering mixed variables/1. Engineering mixed variables.srt

3.98KB

11. Engineering mixed variables/1. Engineering mixed variables.vtt

3.55KB

11. Engineering mixed variables/2. Engineering mixed variables Demo.mp4

45.48MB

11. Engineering mixed variables/2. Engineering mixed variables Demo.srt

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11. Engineering mixed variables/2. Engineering mixed variables Demo.vtt

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12. Engineering datetime variables/1. Engineering datetime variables.mp4

23.19MB

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

54.01MB

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

33.48MB

12. Engineering datetime variables/3. Engineering time variables and different timezones.srt

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12. Engineering datetime variables/3. Engineering time variables and different timezones.vtt

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13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4

135.99MB

13. Assembling a feature engineering pipeline/1. Classification pipeline.srt

15.57KB

13. Assembling a feature engineering pipeline/1. Classification pipeline.vtt

13.87KB

13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4

157.57MB

13. Assembling a feature engineering pipeline/2. Regression pipeline.srt

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13. Assembling a feature engineering pipeline/2. Regression pipeline.vtt

14.83KB

13. Assembling a feature engineering pipeline/3. Beat the performance by engineering features.html

155B

14. Final section Next steps/1. BONUS Discounts on my other courses!.html

1.02KB

2. Variable Types/1. Variables Intro.mp4

15.3MB

2. Variable Types/1. Variables Intro.srt

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2. Variable Types/1. Variables Intro.vtt

3.14KB

2. Variable Types/2. Numerical variables.mp4

26.88MB

2. Variable Types/2. Numerical variables.srt

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2. Variable Types/2. Numerical variables.vtt

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2. Variable Types/3. Categorical variables.mp4

18.4MB

2. Variable Types/3. Categorical variables.srt

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2. Variable Types/3. Categorical variables.vtt

4.07KB

2. Variable Types/4. Date and time variables.mp4

9.8MB

2. Variable Types/4. Date and time variables.srt

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2. Variable Types/4. Date and time variables.vtt

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2. Variable Types/5. Mixed variables.mp4

11.25MB

2. Variable Types/5. Mixed variables.srt

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2. Variable Types/5. Mixed variables.vtt

2.6KB

2. Variable Types/5.1 sample_s2.csv.csv

9.94MB

2. Variable Types/6. Bonus More about the Lending Club dataset.html

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2. Variable Types/7. Quiz about variable types.html

151B

3. Variable Characteristics/1. Variable characteristics.mp4

20.84MB

3. Variable Characteristics/1. Variable characteristics.srt

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3. Variable Characteristics/1. Variable characteristics.vtt

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3. Variable Characteristics/10. Bonus Additional reading resources.html

4.68KB

3. Variable Characteristics/11. FAQ How can I learn more about machine learning.html

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3. Variable Characteristics/2. Missing data.mp4

40.11MB

3. Variable Characteristics/2. Missing data.srt

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3. Variable Characteristics/2. Missing data.vtt

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3. Variable Characteristics/3. Cardinality - categorical variables.mp4

31.02MB

3. Variable Characteristics/3. Cardinality - categorical variables.srt

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3. Variable Characteristics/3. Cardinality - categorical variables.vtt

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3. Variable Characteristics/4. Rare Labels - categorical variables.mp4

33.86MB

3. Variable Characteristics/4. Rare Labels - categorical variables.srt

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3. Variable Characteristics/4. Rare Labels - categorical variables.vtt

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3. Variable Characteristics/5. Linear models assumptions.mp4

68.89MB

3. Variable Characteristics/5. Linear models assumptions.srt

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3. Variable Characteristics/5. Linear models assumptions.vtt

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3. Variable Characteristics/6. Variable distribution.mp4

32.77MB

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

48.36MB

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

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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

140B

3. Variable Characteristics/9.1 ML_Comparison.pdf.pdf

297.65KB

4. Missing Data Imputation/1. Introduction to missing data imputation.mp4

29.37MB

4. Missing Data Imputation/1. Introduction to missing data imputation.srt

5.24KB

4. Missing Data Imputation/1. Introduction to missing data imputation.vtt

4.66KB

4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4

88.12MB

4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.srt

12.86KB

4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.vtt

11.35KB

4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4

52.16MB

4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.srt

6.55KB

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

34.18MB

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

24.61MB

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

35.67MB

4. Missing Data Imputation/14. Adding a missing indicator with Scikit-learn.srt

4.69KB

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

80.35MB

4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.srt

9.03KB

4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.vtt

7.98KB

4. Missing Data Imputation/16. Introduction to Feature-engine.mp4

40.48MB

4. Missing Data Imputation/16. Introduction to Feature-engine.srt

6.43KB

4. Missing Data Imputation/16. Introduction to Feature-engine.vtt

5.71KB

4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.mp4

38.64MB

4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.srt

5.09KB

4. Missing Data Imputation/17. Mean or median imputation with Feature-engine.vtt

4.52KB

4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.mp4

26.75MB

4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.srt

3.26KB

4. Missing Data Imputation/18. Arbitrary value imputation with Feature-engine.vtt

2.92KB

4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.mp4

38.87MB

4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.srt

5.26KB

4. Missing Data Imputation/19. End of distribution imputation with Feature-engine.vtt

4.69KB

4. Missing Data Imputation/2. Complete Case Analysis.mp4

46.67MB

4. Missing Data Imputation/2. Complete Case Analysis.srt

8.53KB

4. Missing Data Imputation/2. Complete Case Analysis.vtt

7.55KB

4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.mp4

16.15MB

4. Missing Data Imputation/20. Frequent category imputation with Feature-engine.srt

2.07KB

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

20.42MB

4. Missing Data Imputation/21. Missing category imputation with Feature-engine.srt

2.52KB

4. Missing Data Imputation/21. Missing category imputation with Feature-engine.vtt

2.25KB

4. Missing Data Imputation/22. Random sample imputation with Feature-engine.mp4

16.09MB

4. Missing Data Imputation/22. Random sample imputation with Feature-engine.srt

2.3KB

4. Missing Data Imputation/22. Random sample imputation with Feature-engine.vtt

2.03KB

4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.mp4

25.9MB

4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.srt

3.91KB

4. Missing Data Imputation/23. Adding a missing indicator with Feature-engine.vtt

3.47KB

4. Missing Data Imputation/24. Overview of missing value imputation methods.html

140B

4. Missing Data Imputation/24.1 NA_methods_Comparison.pdf.pdf

273.81KB

4. Missing Data Imputation/25. Conclusion when to use each missing data imputation method.html

2.66KB

4. Missing Data Imputation/3. Mean or median imputation.mp4

52.15MB

4. Missing Data Imputation/3. Mean or median imputation.srt

10.29KB

4. Missing Data Imputation/3. Mean or median imputation.vtt

9.11KB

4. Missing Data Imputation/4. Arbitrary value imputation.mp4

40.09MB

4. Missing Data Imputation/4. Arbitrary value imputation.srt

8.42KB

4. Missing Data Imputation/4. Arbitrary value imputation.vtt

7.48KB

4. Missing Data Imputation/5. End of distribution imputation.mp4

28.11MB

4. Missing Data Imputation/5. End of distribution imputation.srt

6.02KB

4. Missing Data Imputation/5. End of distribution imputation.vtt

5.36KB

4. Missing Data Imputation/6. Frequent category imputation.mp4

49.77MB

4. Missing Data Imputation/6. Frequent category imputation.srt

8.22KB

4. Missing Data Imputation/6. Frequent category imputation.vtt

7.33KB

4. Missing Data Imputation/7. Missing category imputation.mp4

28.17MB

4. Missing Data Imputation/7. Missing category imputation.srt

4.82KB

4. Missing Data Imputation/7. Missing category imputation.vtt

4.31KB

4. Missing Data Imputation/8. Random sample imputation.mp4

102.66MB

4. Missing Data Imputation/8. Random sample imputation.srt

17.65KB

4. Missing Data Imputation/8. Random sample imputation.vtt

15.59KB

4. Missing Data Imputation/9. Adding a missing indicator.mp4

31.09MB

4. Missing Data Imputation/9. Adding a missing indicator.srt

6.55KB

4. Missing Data Imputation/9. Adding a missing indicator.vtt

5.81KB

5. Multivariate Missing Data Imputation/1. Multivariate Imputation - COMING IN 2020.html

105B

6. Categorical Variable Encoding/1. Categorical encoding Introduction.mp4

34.03MB

6. Categorical Variable Encoding/1. Categorical encoding Introduction.srt

7.93KB

6. Categorical Variable Encoding/1. Categorical encoding Introduction.vtt

7.11KB

6. Categorical Variable Encoding/10. Target guided ordinal encoding.mp4

12.87MB

6. Categorical Variable Encoding/10. Target guided ordinal encoding.srt

3.43KB

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

68.75MB

6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.srt

9.39KB

6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.vtt

8.36KB

6. Categorical Variable Encoding/12. Mean encoding.mp4

12.84MB

6. Categorical Variable Encoding/12. Mean encoding.srt

2.92KB

6. Categorical Variable Encoding/12. Mean encoding.vtt

2.61KB

6. Categorical Variable Encoding/13. Mean encoding Demo.mp4

42.05MB

6. Categorical Variable Encoding/13. Mean encoding Demo.srt

6.36KB

6. Categorical Variable Encoding/13. Mean encoding Demo.vtt

5.67KB

6. Categorical Variable Encoding/14. Probability ratio encoding.mp4

45.65MB

6. Categorical Variable Encoding/14. Probability ratio encoding.srt

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6. Categorical Variable Encoding/14. Probability ratio encoding.vtt

6.3KB

6. Categorical Variable Encoding/15. Weight of evidence (WoE).mp4

20.56MB

6. Categorical Variable Encoding/15. Weight of evidence (WoE).srt

5.09KB

6. Categorical Variable Encoding/15. Weight of evidence (WoE).vtt

4.53KB

6. Categorical Variable Encoding/16. Weight of Evidence Demo.mp4

45.11MB

6. Categorical Variable Encoding/16. Weight of Evidence Demo.srt

7.97KB

6. Categorical Variable Encoding/16. Weight of Evidence Demo.vtt

7.11KB

6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4

78.44MB

6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.srt

12.37KB

6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.vtt

10.93KB

6. Categorical Variable Encoding/18. Rare label encoding.mp4

23.31MB

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

69.43MB

6. Categorical Variable Encoding/19. Rare label encoding Demo.srt

12.01KB

6. Categorical Variable Encoding/19. Rare label encoding Demo.vtt

10.66KB

6. Categorical Variable Encoding/2. One hot encoding.mp4

31.75MB

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

30.9MB

6. Categorical Variable Encoding/20. Binary encoding and feature hashing.srt

7.55KB

6. Categorical Variable Encoding/20. Binary encoding and feature hashing.vtt

6.69KB

6. Categorical Variable Encoding/21. Bonus Additional reading resources.html

2.42KB

6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4

91.4MB

6. Categorical Variable Encoding/3. One-hot-encoding Demo.srt

17.55KB

6. Categorical Variable Encoding/3. One-hot-encoding Demo.vtt

15.48KB

6. Categorical Variable Encoding/4. One hot encoding of top categories.mp4

18.1MB

6. Categorical Variable Encoding/4. One hot encoding of top categories.srt

3.34KB

6. Categorical Variable Encoding/4. One hot encoding of top categories.vtt

2.98KB

6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4

57.26MB

6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.srt

9.68KB

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

9.42MB

6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.srt

2.08KB

6. Categorical Variable Encoding/6. Ordinal encoding Label encoding.vtt

1.85KB

6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4

57.48MB

6. Categorical Variable Encoding/7. Ordinal encoding Demo.srt

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6. Categorical Variable Encoding/7. Ordinal encoding Demo.vtt

8.33KB

6. Categorical Variable Encoding/8. Count or frequency encoding.mp4

15.73MB

6. Categorical Variable Encoding/8. Count or frequency encoding.srt

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6. Categorical Variable Encoding/8. Count or frequency encoding.vtt

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6. Categorical Variable Encoding/9. Count encoding Demo.mp4

32.53MB

6. Categorical Variable Encoding/9. Count encoding Demo.srt

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6. Categorical Variable Encoding/9. Count encoding Demo.vtt

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7. Variable Transformation/1. Variable Transformation Introduction.mp4

18.66MB

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

49.41MB

7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.srt

8.49KB

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

47.1MB

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

23.69MB

7. Variable Transformation/4. Variable transformation with Feature-engine.srt

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7. Variable Transformation/4. Variable transformation with Feature-engine.vtt

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8. Discretisation/1. Discretisation Introduction.mp4

15.45MB

8. Discretisation/1. Discretisation Introduction.srt

3.41KB

8. Discretisation/1. Discretisation Introduction.vtt

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8. Discretisation/10. Discretisation with classification trees.mp4

26.58MB

8. Discretisation/10. Discretisation with classification trees.srt

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8. Discretisation/10. Discretisation with classification trees.vtt

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8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4

80.16MB

8. Discretisation/11. Discretisation with decision trees using Scikit-learn.srt

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8. Discretisation/11. Discretisation with decision trees using Scikit-learn.vtt

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8. Discretisation/12. Discretisation with decision trees using Feature-engine.mp4

28.38MB

8. Discretisation/12. Discretisation with decision trees using Feature-engine.srt

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8. Discretisation/12. Discretisation with decision trees using Feature-engine.vtt

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8. Discretisation/13. Domain knowledge discretisation.mp4

25.67MB

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

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8. Discretisation/2. Equal-width discretisation.mp4

21.54MB

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

79.1MB

8. Discretisation/3. Equal-width discretisation Demo.srt

12.52KB

8. Discretisation/3. Equal-width discretisation Demo.vtt

11.05KB

8. Discretisation/4. Equal-frequency discretisation.mp4

22.49MB

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

47.29MB

8. Discretisation/5. Equal-frequency discretisation Demo.srt

7.67KB

8. Discretisation/5. Equal-frequency discretisation Demo.vtt

6.85KB

8. Discretisation/6. K-means discretisation.mp4

18.87MB

8. Discretisation/6. K-means discretisation.srt

4.73KB

8. Discretisation/6. K-means discretisation.vtt

4.17KB

8. Discretisation/7. K-means discretisation Demo.mp4

18.83MB

8. Discretisation/7. K-means discretisation Demo.srt

3.23KB

8. Discretisation/7. K-means discretisation Demo.vtt

2.85KB

8. Discretisation/8. Discretisation plus categorical encoding.mp4

13.31MB

8. Discretisation/8. Discretisation plus categorical encoding.srt

2.76KB

8. Discretisation/8. Discretisation plus categorical encoding.vtt

2.48KB

8. Discretisation/9. Discretisation plus encoding Demo.mp4

36.22MB

8. Discretisation/9. Discretisation plus encoding Demo.srt

6.55KB

8. Discretisation/9. Discretisation plus encoding Demo.vtt

5.8KB

9. Outlier Handling/1. Outlier Engineering Intro.mp4

41.97MB

9. Outlier Handling/1. Outlier Engineering Intro.srt

7.7KB

9. Outlier Handling/1. Outlier Engineering Intro.vtt

6.87KB

9. Outlier Handling/2. Outlier trimming.mp4

51.09MB

9. Outlier Handling/2. Outlier trimming.srt

8.33KB

9. Outlier Handling/2. Outlier trimming.vtt

7.39KB

9. Outlier Handling/3. Outlier capping with IQR.mp4

43.57MB

9. Outlier Handling/3. Outlier capping with IQR.srt

6.75KB

9. Outlier Handling/3. Outlier capping with IQR.vtt

6.03KB

9. Outlier Handling/4. Outlier capping with mean and std.mp4

34.58MB

9. Outlier Handling/4. Outlier capping with mean and std.srt

4.81KB

9. Outlier Handling/4. Outlier capping with mean and std.vtt

4.31KB

9. Outlier Handling/5. Outlier capping with quantiles.mp4

24.44MB

9. Outlier Handling/5. Outlier capping with quantiles.srt

3.5KB

9. Outlier Handling/5. Outlier capping with quantiles.vtt

3.17KB

9. Outlier Handling/6. Arbitrary capping.mp4

19.69MB

9. Outlier Handling/6. Arbitrary capping.srt

3.82KB

9. Outlier Handling/6. Arbitrary capping.vtt

3.41KB

9. Outlier Handling/7. Additional reading resources.html

387B

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