960.12 MB | 00:27:43 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
Chapter 1  How this book is organized  (27.82 MB)
Chapter 1  Introduction to feature engineering  (29.85 MB)
Chapter 1  Summary  (2.18 MB)
Chapter 1  The feature engineering pipeline  (30.22 MB)
Chapter 2  How to evaluate feature engineering efforts  (18.45 MB)
Chapter 2  Summary  (2.62 MB)
Chapter 2  The basics of feature engineering  (14 MB)
Chapter 2  The four levels of data  (35.56 MB)
Chapter 2  The types of feature engineering  (24.9 MB)
Chapter 3  Answers to exercises  (1.1 MB)
Chapter 3  Building our feature engineering pipeline  (14.75 MB)
Chapter 3  Exploratory data analysis  (8.07 MB)
Chapter 3  Feature construction  (30.41 MB)
Chapter 3  Feature improvement  (19.65 MB)
Chapter 3  Feature selection  (9.69 MB)
Chapter 3  Healthcare Diagnosing COVID-19  (28.32 MB)
Chapter 3  Summary  (2.45 MB)
Chapter 4  Answers to exercises  (1.18 MB)
Chapter 4  Bias and fairness Modeling recidivism  (18.68 MB)
Chapter 4  Building a baseline model  (35.31 MB)
Chapter 4  Building a bias-aware model  (27.3 MB)
Chapter 4  Exploratory data analysis  (12.97 MB)
Chapter 4  Measuring bias and fairness  (18.11 MB)
Chapter 4  Mitigating bias  (5.49 MB)
Chapter 4  Summary  (1.75 MB)
Chapter 5  Answers to exercises  (1.4 MB)
Chapter 5  Feature extraction  (10.77 MB)
Chapter 5  Feature improvement  (16.07 MB)
Chapter 5  Feature learning  (38.22 MB)
Chapter 5  Natural language processing Classifying social media sentiment  (17.01 MB)
Chapter 5  Summary  (1.82 MB)
Chapter 5  Text vectorization  (36.49 MB)
Chapter 5  Text vectorization recap  (3.19 MB)
Chapter 6  Answers to exercises  (999.27 KB)
Chapter 6  Computer vision Object recognition  (9.34 MB)
Chapter 6  Feature construction Pixels as features  (9.32 MB)
Chapter 6  Feature extraction Histogram of oriented gradients  (28.03 MB)
Chapter 6  Feature learning with VGG-11  (36.64 MB)
Chapter 6  Image vectorization recap  (2.31 MB)
Chapter 6  Summary  (1.12 MB)
Chapter 7  Answers to exercises  (2.87 MB)
Chapter 7  Conclusion  (3.97 MB)
Chapter 7  Feature construction  (64.94 MB)
Chapter 7  Feature extraction  (16.98 MB)
Chapter 7  Feature selection  (11.31 MB)
Chapter 7  Summary  (3.82 MB)
Chapter 7  Time series analysis Day trading with machine learning  (21.88 MB)
Chapter 8  Answer to exercise  (1.07 MB)
Chapter 8  Creating training data in Hopsworks  (19.1 MB)
Chapter 8  Feature stores  (41.08 MB)
Chapter 8  Setting up a feature store with Hopsworks  (46.92 MB)
Chapter 8  Summary  (3.04 MB)
Chapter 9  Data type-specific feature engineering techniques  (19.26 MB)
Chapter 9  Frequently asked questions  (12.02 MB)
Chapter 9  Further reading material  (2.47 MB)
Chapter 9  Key takeaways  (10.45 MB)
Chapter 9  Other feature engineering techniques  (24.35 MB)
Chapter 9  Putting it all together  (4.12 MB)
Chapter 9  Recap of feature engineering  (14.01 MB)
Chapter 9  Summary  (2.96 MB)
[align=center]
Screenshot

[/align]

https://ddownload.com/psbte449lbau/Oreilly.-.Feature.Engineering.Bookcamp.Video.Edition.rar

https://rapidgator.net/file/467de66f4dbf6d41bfad5ac5df4e3681/Oreilly.-.Feature.Engineering.Bookcamp.Video.Edition.rar

https://turbobit.net/3nhasestcbks/Oreilly.-.Feature.Engineering.Bookcamp.Video.Edition.rar.html