Download Udemy | Feature Engineering for Machine Learning [FTU] Torrent

Torrent Contents Size: 3.76 GB

Udemy | Feature Engineering for Machine Learning [FTU]

0. Websites you may like

0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	URL	377 B
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2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	URL	286 B
3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url	URL	163 B
4. (FTUApps.com) Download Cracked Developers Applications For Free.url	URL	239 B
How you can help Team-FTU.txt	TXT	237 B

1. Introduction

1. Introduction.mp4	MP4	32.86 MB
1. Introduction.srt	SRT	6.81 KB
1. Introduction.vtt	VTT	6.06 KB
2. Course curriculum overview.mp4	MP4	33.37 MB
2. Course curriculum overview.srt	SRT	7.24 KB
2. Course curriculum overview.vtt	VTT	6.46 KB
3. Course requirements.mp4	MP4	10.64 MB
3. Course requirements.srt	SRT	4.1 KB
3. Course requirements.vtt	VTT	3.66 KB
4. How to approach this course.html	HTML	1.76 KB
5. Setting up your computer.html	HTML	3.52 KB
6. Download Jupyter notebooks.html	HTML	1.26 KB
6.1 HandsOnPythonCode.zip.zip	ZIP	9.24 MB
7. Download datasets.html	HTML	1.97 KB
8. Download course presentations.html	HTML	764 B
8.1 FeatureEngineeringSlides.zip.zip	ZIP	29.59 MB
9. FAQ Data Science, Python programming, datasets, presentations and more....html	HTML	1.64 KB

10. Feature Scaling

1. Feature scaling Introduction.mp4	MP4	20.6 MB
1. Feature scaling Introduction.srt	SRT	4.55 KB
1. Feature scaling Introduction.vtt	VTT	4.07 KB
10. Scaling to median and quantiles.mp4	MP4	13.01 MB
10. Scaling to median and quantiles.srt	SRT	3.15 KB
10. Scaling to median and quantiles.vtt	VTT	2.82 KB
11. Robust Scaling Demo.mp4	MP4	16.55 MB
11. Robust Scaling Demo.srt	SRT	2.43 KB
11. Robust Scaling Demo.vtt	VTT	2.17 KB
12. Scaling to vector unit length.mp4	MP4	31.94 MB
12. Scaling to vector unit length.srt	SRT	6.64 KB
12. Scaling to vector unit length.vtt	VTT	5.88 KB
13. Scaling to vector unit length Demo.mp4	MP4	46.31 MB
13. Scaling to vector unit length Demo.srt	SRT	6.01 KB
13. Scaling to vector unit length Demo.vtt	VTT	5.35 KB
14. Additional reading resources.html	HTML	1.34 KB
2. Standardisation.mp4	MP4	26.51 MB
2. Standardisation.srt	SRT	6.57 KB
2. Standardisation.vtt	VTT	5.86 KB
3. Standardisation Demo.mp4	MP4	41.62 MB
3. Standardisation Demo.srt	SRT	5.51 KB
3. Standardisation Demo.vtt	VTT	4.93 KB
4. Mean normalisation.mp4	MP4	19.81 MB
4. Mean normalisation.srt	SRT	4.92 KB
4. Mean normalisation.vtt	VTT	4.4 KB
5. Mean normalisation Demo.mp4	MP4	45.08 MB
5. Mean normalisation Demo.srt	SRT	6.19 KB
5. Mean normalisation Demo.vtt	VTT	5.51 KB
6. Scaling to minimum and maximum values.mp4	MP4	17.08 MB
6. Scaling to minimum and maximum values.srt	SRT	3.81 KB
6. Scaling to minimum and maximum values.vtt	VTT	3.39 KB
7. MinMaxScaling Demo.mp4	MP4	25.89 MB
7. MinMaxScaling Demo.srt	SRT	3.47 KB
7. MinMaxScaling Demo.vtt	VTT	3.11 KB
8. Maximum absolute scaling.mp4	MP4	14.6 MB
8. Maximum absolute scaling.srt	SRT	3.29 KB
8. Maximum absolute scaling.vtt	VTT	2.94 KB
9. MaxAbsScaling Demo.mp4	MP4	31.47 MB
9. MaxAbsScaling Demo.srt	SRT	4.56 KB
9. MaxAbsScaling Demo.vtt	VTT	4.05 KB

11. Engineering mixed variables

1. Engineering mixed variables.mp4	MP4	15.27 MB
1. Engineering mixed variables.srt	SRT	3.98 KB
1. Engineering mixed variables.vtt	VTT	3.55 KB
2. Engineering mixed variables Demo.mp4	MP4	45.48 MB
2. Engineering mixed variables Demo.srt	SRT	7.24 KB
2. Engineering mixed variables Demo.vtt	VTT	6.45 KB

12. Engineering datetime variables

1. Engineering datetime variables.mp4	MP4	23.19 MB
1. Engineering datetime variables.srt	SRT	5.48 KB
1. Engineering datetime variables.vtt	VTT	4.87 KB
2. Engineering dates Demo.mp4	MP4	54.01 MB
2. Engineering dates Demo.srt	SRT	9.1 KB
2. Engineering dates Demo.vtt	VTT	8.05 KB
3. Engineering time variables and different timezones.mp4	MP4	33.48 MB
3. Engineering time variables and different timezones.srt	SRT	5.36 KB
3. Engineering time variables and different timezones.vtt	VTT	4.73 KB

13. Assembling a feature engineering pipeline

1. Classification pipeline.mp4	MP4	135.99 MB
1. Classification pipeline.srt	SRT	15.57 KB
1. Classification pipeline.vtt	VTT	13.87 KB
2. Regression pipeline.mp4	MP4	157.57 MB
2. Regression pipeline.srt	SRT	16.77 KB
2. Regression pipeline.vtt	VTT	14.83 KB
3. Beat the performance by engineering features.html	HTML	155 B

14. Final section Next steps

1. BONUS Discounts on my other courses!.html

HTML

1.02 KB

2. Variable Types

1. Variables Intro.mp4	MP4	15.3 MB
1. Variables Intro.srt	SRT	3.53 KB
1. Variables Intro.vtt	VTT	3.14 KB
2. Numerical variables.mp4	MP4	26.88 MB
2. Numerical variables.srt	SRT	6.69 KB
2. Numerical variables.vtt	VTT	5.97 KB
3. Categorical variables.mp4	MP4	18.4 MB
3. Categorical variables.srt	SRT	4.56 KB
3. Categorical variables.vtt	VTT	4.07 KB
4. Date and time variables.mp4	MP4	9.8 MB
4. Date and time variables.srt	SRT	2.4 KB
4. Date and time variables.vtt	VTT	2.14 KB
5. Mixed variables.mp4	MP4	11.25 MB
5. Mixed variables.srt	SRT	2.94 KB
5. Mixed variables.vtt	VTT	2.6 KB
5.1 sample_s2.csv.csv	CSV	9.94 MB
6. Bonus More about the Lending Club dataset.html	HTML	826 B
7. Quiz about variable types.html	HTML	151 B

3. Variable Characteristics

1. Variable characteristics.mp4	MP4	20.84 MB
1. Variable characteristics.srt	SRT	3.58 KB
1. Variable characteristics.vtt	VTT	3.19 KB
10. Bonus Additional reading resources.html	HTML	4.68 KB
11. FAQ How can I learn more about machine learning.html	HTML	824 B
2. Missing data.mp4	MP4	40.11 MB
2. Missing data.srt	SRT	8.97 KB
2. Missing data.vtt	VTT	7.92 KB
3. Cardinality - categorical variables.mp4	MP4	31.02 MB
3. Cardinality - categorical variables.srt	SRT	6.34 KB
3. Cardinality - categorical variables.vtt	VTT	5.64 KB
4. Rare Labels - categorical variables.mp4	MP4	33.86 MB
4. Rare Labels - categorical variables.srt	SRT	6.09 KB
4. Rare Labels - categorical variables.vtt	VTT	5.4 KB
5. Linear models assumptions.mp4	MP4	68.89 MB
5. Linear models assumptions.srt	SRT	11.48 KB
5. Linear models assumptions.vtt	VTT	10.25 KB
6. Variable distribution.mp4	MP4	32.77 MB
6. Variable distribution.srt	SRT	6.48 KB
6. Variable distribution.vtt	VTT	5.76 KB
7. Outliers.mp4	MP4	48.36 MB
7. Outliers.srt	SRT	10.4 KB
7. Outliers.vtt	VTT	9.23 KB
8. Variable magnitude.mp4	MP4	19.96 MB
8. Variable magnitude.srt	SRT	3.87 KB
8. Variable magnitude.vtt	VTT	3.45 KB
9. Bonus Machine learning algorithms overview.html	HTML	140 B
9.1 ML_Comparison.pdf.pdf	PDF	297.65 KB

4. Missing Data Imputation

1. Introduction to missing data imputation.mp4	MP4	29.37 MB
1. Introduction to missing data imputation.srt	SRT	5.24 KB
1. Introduction to missing data imputation.vtt	VTT	4.66 KB
10. Mean or median imputation with Scikit-learn.mp4	MP4	88.12 MB
10. Mean or median imputation with Scikit-learn.srt	SRT	12.86 KB
10. Mean or median imputation with Scikit-learn.vtt	VTT	11.35 KB
11. Arbitrary value imputation with Scikit-learn.mp4	MP4	52.16 MB
11. Arbitrary value imputation with Scikit-learn.srt	SRT	6.55 KB
11. Arbitrary value imputation with Scikit-learn.vtt	VTT	5.8 KB
12. Frequent category imputation with Scikit-learn.mp4	MP4	34.18 MB
12. Frequent category imputation with Scikit-learn.srt	SRT	4.15 KB
12. Frequent category imputation with Scikit-learn.vtt	VTT	3.69 KB
13. Missing category imputation with Scikit-learn.mp4	MP4	24.61 MB
13. Missing category imputation with Scikit-learn.srt	SRT	3.01 KB
13. Missing category imputation with Scikit-learn.vtt	VTT	2.7 KB
14. Adding a missing indicator with Scikit-learn.mp4	MP4	35.67 MB
14. Adding a missing indicator with Scikit-learn.srt	SRT	4.69 KB
14. Adding a missing indicator with Scikit-learn.vtt	VTT	4.15 KB
15. Automatic determination of imputation method with Sklearn.mp4	MP4	80.35 MB
15. Automatic determination of imputation method with Sklearn.srt	SRT	9.03 KB
15. Automatic determination of imputation method with Sklearn.vtt	VTT	7.98 KB
16. Introduction to Feature-engine.mp4	MP4	40.48 MB
16. Introduction to Feature-engine.srt	SRT	6.43 KB
16. Introduction to Feature-engine.vtt	VTT	5.71 KB
17. Mean or median imputation with Feature-engine.mp4	MP4	38.64 MB
17. Mean or median imputation with Feature-engine.srt	SRT	5.09 KB
17. Mean or median imputation with Feature-engine.vtt	VTT	4.52 KB
18. Arbitrary value imputation with Feature-engine.mp4	MP4	26.75 MB
18. Arbitrary value imputation with Feature-engine.srt	SRT	3.26 KB
18. Arbitrary value imputation with Feature-engine.vtt	VTT	2.92 KB
19. End of distribution imputation with Feature-engine.mp4	MP4	38.87 MB
19. End of distribution imputation with Feature-engine.srt	SRT	5.26 KB
19. End of distribution imputation with Feature-engine.vtt	VTT	4.69 KB
2. Complete Case Analysis.mp4	MP4	46.67 MB
2. Complete Case Analysis.srt	SRT	8.53 KB
2. Complete Case Analysis.vtt	VTT	7.55 KB
20. Frequent category imputation with Feature-engine.mp4	MP4	16.15 MB
20. Frequent category imputation with Feature-engine.srt	SRT	2.07 KB
20. Frequent category imputation with Feature-engine.vtt	VTT	1.84 KB
21. Missing category imputation with Feature-engine.mp4	MP4	20.42 MB
21. Missing category imputation with Feature-engine.srt	SRT	2.52 KB
21. Missing category imputation with Feature-engine.vtt	VTT	2.25 KB
22. Random sample imputation with Feature-engine.mp4	MP4	16.09 MB
22. Random sample imputation with Feature-engine.srt	SRT	2.3 KB
22. Random sample imputation with Feature-engine.vtt	VTT	2.03 KB
23. Adding a missing indicator with Feature-engine.mp4	MP4	25.9 MB
23. Adding a missing indicator with Feature-engine.srt	SRT	3.91 KB
23. Adding a missing indicator with Feature-engine.vtt	VTT	3.47 KB
24. Overview of missing value imputation methods.html	HTML	140 B
24.1 NA_methods_Comparison.pdf.pdf	PDF	273.81 KB
25. Conclusion when to use each missing data imputation method.html	HTML	2.66 KB
3. Mean or median imputation.mp4	MP4	52.15 MB
3. Mean or median imputation.srt	SRT	10.29 KB
3. Mean or median imputation.vtt	VTT	9.11 KB
4. Arbitrary value imputation.mp4	MP4	40.09 MB
4. Arbitrary value imputation.srt	SRT	8.42 KB
4. Arbitrary value imputation.vtt	VTT	7.48 KB
5. End of distribution imputation.mp4	MP4	28.11 MB
5. End of distribution imputation.srt	SRT	6.02 KB
5. End of distribution imputation.vtt	VTT	5.36 KB
6. Frequent category imputation.mp4	MP4	49.77 MB
6. Frequent category imputation.srt	SRT	8.22 KB
6. Frequent category imputation.vtt	VTT	7.33 KB
7. Missing category imputation.mp4	MP4	28.17 MB
7. Missing category imputation.srt	SRT	4.82 KB
7. Missing category imputation.vtt	VTT	4.31 KB
8. Random sample imputation.mp4	MP4	102.66 MB
8. Random sample imputation.srt	SRT	17.65 KB
8. Random sample imputation.vtt	VTT	15.59 KB
9. Adding a missing indicator.mp4	MP4	31.09 MB
9. Adding a missing indicator.srt	SRT	6.55 KB
9. Adding a missing indicator.vtt	VTT	5.81 KB

5. Multivariate Missing Data Imputation

1. Multivariate Imputation - COMING IN 2020.html

HTML

105 B

6. Categorical Variable Encoding

1. Categorical encoding Introduction.mp4	MP4	34.03 MB
1. Categorical encoding Introduction.srt	SRT	7.93 KB
1. Categorical encoding Introduction.vtt	VTT	7.11 KB
10. Target guided ordinal encoding.mp4	MP4	12.87 MB
10. Target guided ordinal encoding.srt	SRT	3.43 KB
10. Target guided ordinal encoding.vtt	VTT	3.05 KB
11. Target guided ordinal encoding Demo.mp4	MP4	68.75 MB
11. Target guided ordinal encoding Demo.srt	SRT	9.39 KB
11. Target guided ordinal encoding Demo.vtt	VTT	8.36 KB
12. Mean encoding.mp4	MP4	12.84 MB
12. Mean encoding.srt	SRT	2.92 KB
12. Mean encoding.vtt	VTT	2.61 KB
13. Mean encoding Demo.mp4	MP4	42.05 MB
13. Mean encoding Demo.srt	SRT	6.36 KB
13. Mean encoding Demo.vtt	VTT	5.67 KB
14. Probability ratio encoding.mp4	MP4	45.65 MB
14. Probability ratio encoding.srt	SRT	7.15 KB
14. Probability ratio encoding.vtt	VTT	6.3 KB
15. Weight of evidence (WoE).mp4	MP4	20.56 MB
15. Weight of evidence (WoE).srt	SRT	5.09 KB
15. Weight of evidence (WoE).vtt	VTT	4.53 KB
16. Weight of Evidence Demo.mp4	MP4	45.11 MB
16. Weight of Evidence Demo.srt	SRT	7.97 KB
16. Weight of Evidence Demo.vtt	VTT	7.11 KB
17. Comparison of categorical variable encoding.mp4	MP4	78.44 MB
17. Comparison of categorical variable encoding.srt	SRT	12.37 KB
17. Comparison of categorical variable encoding.vtt	VTT	10.93 KB
18. Rare label encoding.mp4	MP4	23.31 MB
18. Rare label encoding.srt	SRT	5.16 KB
18. Rare label encoding.vtt	VTT	4.59 KB
19. Rare label encoding Demo.mp4	MP4	69.43 MB
19. Rare label encoding Demo.srt	SRT	12.01 KB
19. Rare label encoding Demo.vtt	VTT	10.66 KB
2. One hot encoding.mp4	MP4	31.75 MB
2. One hot encoding.srt	SRT	6.97 KB
2. One hot encoding.vtt	VTT	6.2 KB
20. Binary encoding and feature hashing.mp4	MP4	30.9 MB
20. Binary encoding and feature hashing.srt	SRT	7.55 KB
20. Binary encoding and feature hashing.vtt	VTT	6.69 KB
21. Bonus Additional reading resources.html	HTML	2.42 KB
3. One-hot-encoding Demo.mp4	MP4	91.4 MB
3. One-hot-encoding Demo.srt	SRT	17.55 KB
3. One-hot-encoding Demo.vtt	VTT	15.48 KB
4. One hot encoding of top categories.mp4	MP4	18.1 MB
4. One hot encoding of top categories.srt	SRT	3.34 KB
4. One hot encoding of top categories.vtt	VTT	2.98 KB
5. One hot encoding of top categories Demo.mp4	MP4	57.26 MB
5. One hot encoding of top categories Demo.srt	SRT	9.68 KB
5. One hot encoding of top categories Demo.vtt	VTT	8.58 KB
6. Ordinal encoding Label encoding.mp4	MP4	9.42 MB
6. Ordinal encoding Label encoding.srt	SRT	2.08 KB
6. Ordinal encoding Label encoding.vtt	VTT	1.85 KB
7. Ordinal encoding Demo.mp4	MP4	57.48 MB
7. Ordinal encoding Demo.srt	SRT	9.33 KB
7. Ordinal encoding Demo.vtt	VTT	8.33 KB
8. Count or frequency encoding.mp4	MP4	15.73 MB
8. Count or frequency encoding.srt	SRT	3.76 KB
8. Count or frequency encoding.vtt	VTT	3.35 KB
9. Count encoding Demo.mp4	MP4	32.53 MB
9. Count encoding Demo.srt	SRT	4.93 KB
9. Count encoding Demo.vtt	VTT	4.42 KB

7. Variable Transformation

1. Variable Transformation Introduction.mp4	MP4	18.66 MB
1. Variable Transformation Introduction.srt	SRT	5.48 KB
1. Variable Transformation Introduction.vtt	VTT	4.93 KB
2. Variable Transformation with Numpy and SciPy.mp4	MP4	49.41 MB
2. Variable Transformation with Numpy and SciPy.srt	SRT	8.49 KB
2. Variable Transformation with Numpy and SciPy.vtt	VTT	7.56 KB
3. variable Transformation with Scikit-learn.mp4	MP4	47.1 MB
3. variable Transformation with Scikit-learn.srt	SRT	7.58 KB
3. variable Transformation with Scikit-learn.vtt	VTT	6.8 KB
4. Variable transformation with Feature-engine.mp4	MP4	23.69 MB
4. Variable transformation with Feature-engine.srt	SRT	3.99 KB
4. Variable transformation with Feature-engine.vtt	VTT	3.59 KB

8. Discretisation

1. Discretisation Introduction.mp4	MP4	15.45 MB
1. Discretisation Introduction.srt	SRT	3.41 KB
1. Discretisation Introduction.vtt	VTT	3.04 KB
10. Discretisation with classification trees.mp4	MP4	26.58 MB
10. Discretisation with classification trees.srt	SRT	5.46 KB
10. Discretisation with classification trees.vtt	VTT	4.89 KB
11. Discretisation with decision trees using Scikit-learn.mp4	MP4	80.16 MB
11. Discretisation with decision trees using Scikit-learn.srt	SRT	13.08 KB
11. Discretisation with decision trees using Scikit-learn.vtt	VTT	11.62 KB
12. Discretisation with decision trees using Feature-engine.mp4	MP4	28.38 MB
12. Discretisation with decision trees using Feature-engine.srt	SRT	3.9 KB
12. Discretisation with decision trees using Feature-engine.vtt	VTT	3.48 KB
13. Domain knowledge discretisation.mp4	MP4	25.67 MB
13. Domain knowledge discretisation.srt	SRT	4.08 KB
13. Domain knowledge discretisation.vtt	VTT	3.61 KB
14. Bonus Additional reading resources.html	HTML	1.41 KB
14.1 15.5_Bonus_Additional_reading_resources.zip.zip	ZIP	1.03 KB
2. Equal-width discretisation.mp4	MP4	21.54 MB
2. Equal-width discretisation.srt	SRT	4.38 KB
2. Equal-width discretisation.vtt	VTT	3.91 KB
3. Equal-width discretisation Demo.mp4	MP4	79.1 MB
3. Equal-width discretisation Demo.srt	SRT	12.52 KB
3. Equal-width discretisation Demo.vtt	VTT	11.05 KB
4. Equal-frequency discretisation.mp4	MP4	22.49 MB
4. Equal-frequency discretisation.srt	SRT	4.68 KB
4. Equal-frequency discretisation.vtt	VTT	4.16 KB
5. Equal-frequency discretisation Demo.mp4	MP4	47.29 MB
5. Equal-frequency discretisation Demo.srt	SRT	7.67 KB
5. Equal-frequency discretisation Demo.vtt	VTT	6.85 KB
6. K-means discretisation.mp4	MP4	18.87 MB
6. K-means discretisation.srt	SRT	4.73 KB
6. K-means discretisation.vtt	VTT	4.17 KB
7. K-means discretisation Demo.mp4	MP4	18.83 MB
7. K-means discretisation Demo.srt	SRT	3.23 KB
7. K-means discretisation Demo.vtt	VTT	2.85 KB
8. Discretisation plus categorical encoding.mp4	MP4	13.31 MB
8. Discretisation plus categorical encoding.srt	SRT	2.76 KB
8. Discretisation plus categorical encoding.vtt	VTT	2.48 KB
9. Discretisation plus encoding Demo.mp4	MP4	36.22 MB
9. Discretisation plus encoding Demo.srt	SRT	6.55 KB
9. Discretisation plus encoding Demo.vtt	VTT	5.8 KB

9. Outlier Handling

1. Outlier Engineering Intro.mp4	MP4	41.97 MB
1. Outlier Engineering Intro.srt	SRT	7.7 KB
1. Outlier Engineering Intro.vtt	VTT	6.87 KB
2. Outlier trimming.mp4	MP4	51.09 MB
2. Outlier trimming.srt	SRT	8.33 KB
2. Outlier trimming.vtt	VTT	7.39 KB
3. Outlier capping with IQR.mp4	MP4	43.57 MB
3. Outlier capping with IQR.srt	SRT	6.75 KB
3. Outlier capping with IQR.vtt	VTT	6.03 KB
4. Outlier capping with mean and std.mp4	MP4	34.58 MB
4. Outlier capping with mean and std.srt	SRT	4.81 KB
4. Outlier capping with mean and std.vtt	VTT	4.31 KB
5. Outlier capping with quantiles.mp4	MP4	24.44 MB
5. Outlier capping with quantiles.srt	SRT	3.5 KB
5. Outlier capping with quantiles.vtt	VTT	3.17 KB
6. Arbitrary capping.mp4	MP4	19.69 MB
6. Arbitrary capping.srt	SRT	3.82 KB
6. Arbitrary capping.vtt	VTT	3.41 KB
7. Additional reading resources.html	HTML	387 B

Description

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Udemy | Feature Engineering for Machine Learning [FTU]

Torrent Contents Size: 3.76 GB

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