Linkedin Learning Applied Machine Learning Feature Engineering Online Class-ZH | Apps-Tutorials | MP4 | 342.18 MiB
838 kb/s 1280×720 | AAC 160 kb/s 2 CH
Zieg Heil Linkedin.Learning.Applied.Machine.Learning.Feature.Engineering.Online.Class-ZH Title: Applied Machine Learning: Feature Engineering Online Class Publisher: Linkedin.Learning Size: 343M (358802705 B) Files: 8F Date: 08/10/2020 Course #: Linkedin.Learning Type: N/A Published: Modified: N/A URL: www.linkedin.com/learning/applied-machine-learning-feature-engineering Author: Derek Jedamski Duration: N/A Skill: N/A Exer/Code: [X] Installation: Unpack that shit, run that shit Of course we know its sieg heil, thats how fucking rebelious we are! Description: The quality of the predictions coming out of your machine learning model is a direct reflection of the data you feed it during training. Feature engineering helps you extract every last bit of value out of data. This course provides the tools to take a data set, tease out the signal, and throw out the noise in order to optimize your models. The concepts generalize to nearly any kind of machine learning algorithm. Instructor Derek Jedamski provides a refresher on machine learning basics and a thorough introduction to feature engineering. He explores continuous and categorical features and shows how to clean, normalize, and alter them. Learn how to address missing values, remove outliers, transform data, create indicators, and convert features. In the final chapters, Derek explains how to prepare features for modeling and provides four variations for comparison, so you can evaluate the impact of cleaning, transforming, and creating features through the lens of model performance.
343M Applied Machine Learning Feature Engineering 18M Applied Machine Learning Feature Engineering/01 - Introduction 6.9M Applied Machine Learning Feature Engineering/01 - Introduction/01 - The secret of effective machine learning.mp4 4.0K Applied Machine Learning Feature Engineering/01 - Introduction/01 - The secret of effective machine learning.srt 1.4M Applied Machine Learning Feature Engineering/01 - Introduction/02 - What you should know.mp4 4.0K Applied Machine Learning Feature Engineering/01 - Introduction/02 - What you should know.srt 6.6M Applied Machine Learning Feature Engineering/01 - Introduction/03 - What tools you need.mp4 4.0K Applied Machine Learning Feature Engineering/01 - Introduction/03 - What tools you need.srt 3.2M Applied Machine Learning Feature Engineering/01 - Introduction/04 - Using the exercise files.mp4 4.0K Applied Machine Learning Feature Engineering/01 - Introduction/04 - Using the exercise files.srt 17M Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics 5.3M Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics/01 - What is machine learning.mp4 8.0K Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics/01 - What is machine learning.srt 6.2M Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics/02 - What does machine learning look like in real life.mp4 8.0K Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics/02 - What does machine learning look like in real life.srt 5.2M Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics/03 - What does an end-to-end machine learning pipeline look like.mp4 8.0K Applied Machine Learning Feature Engineering/02 - Review Machine Learning Basics/03 - What does an end-to-end machine learning pipeline look like.srt 15M Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering 4.1M Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering/01 - What is feature engineering.mp4 8.0K Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering/01 - What is feature engineering.srt 5.1M Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering/02 - Why does feature engineering matter.mp4 8.0K Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering/02 - Why does feature engineering matter.srt 5.4M Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering/03 - What are the tools in the feature engineering toolbox.mp4 8.0K Applied Machine Learning Feature Engineering/03 - Introduction to Feature Engineering/03 - What are the tools in the feature engineering toolbox.srt 96M Applied Machine Learning Feature Engineering/04 - Explore the Data 11M Applied Machine Learning Feature Engineering/04 - Explore the Data/01 - What data are you using.mp4 8.0K Applied Machine Learning Feature Engineering/04 - Explore the Data/01 - What data are you using.srt 29M Applied Machine Learning Feature Engineering/04 - Explore the Data/02 - Explore continuous features.mp4 20K Applied Machine Learning Feature Engineering/04 - Explore the Data/02 - Explore continuous features.srt 18M Applied Machine Learning Feature Engineering/04 - Explore the Data/03 - Plot continuous features.mp4 16K Applied Machine Learning Feature Engineering/04 - Explore the Data/03 - Plot continuous features.srt 21M Applied Machine Learning Feature Engineering/04 - Explore the Data/04 - Explore categorical features.mp4 16K Applied Machine Learning Feature Engineering/04 - Explore the Data/04 - Explore categorical features.srt 14M Applied Machine Learning Feature Engineering/04 - Explore the Data/05 - Plot categorical features.mp4 12K Applied Machine Learning Feature Engineering/04 - Explore the Data/05 - Plot categorical features.srt 4.4M Applied Machine Learning Feature Engineering/04 - Explore the Data/06 - Summary of features.mp4 8.0K Applied Machine Learning Feature Engineering/04 - Explore the Data/06 - Summary of features.srt 75M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features 12M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/01 - Treat missing values in the data.mp4 8.0K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/01 - Treat missing values in the data.srt 16M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/02 - Cap and floor data to remove outliers.mp4 12K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/02 - Cap and floor data to remove outliers.srt 19M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/03 - Transform skewed features.mp4 16K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/03 - Transform skewed features.srt 7.7M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/04 - Creating new features from text.mp4 8.0K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/04 - Creating new features from text.srt 6.5M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/05 - Create indicators.mp4 8.0K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/05 - Create indicators.srt 6.1M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/06 - Combining existing features into a new feature.mp4 8.0K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/06 - Combining existing features into a new feature.srt 8.5M Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/07 - Convert categorical features to numeric.mp4 8.0K Applied Machine Learning Feature Engineering/05 - Creating and Cleaning Features/07 - Convert categorical features to numeric.srt 37M Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling 16M Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling/01 - Create training and test sets.mp4 12K Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling/01 - Create training and test sets.srt 8.6M Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling/02 - Standardize all features.mp4 8.0K Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling/02 - Standardize all features.srt 13M Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling/03 - Write out three final datasets.mp4 8.0K Applied Machine Learning Feature Engineering/06 - Prepare Features for Modeling/03 - Write out three final datasets.srt 82M Applied Machine Learning Feature Engineering/07 - Compare All Features 7.8M Applied Machine Learning Feature Engineering/07 - Compare All Features/01 - Review model evaluation basics.mp4 8.0K Applied Machine Learning Feature Engineering/07 - Compare All Features/01 - Review model evaluation basics.srt 23M Applied Machine Learning Feature Engineering/07 - Compare All Features/02 - Build a model with raw original features.mp4 16K Applied Machine Learning Feature Engineering/07 - Compare All Features/02 - Build a model with raw original features.srt 8.7M Applied Machine Learning Feature Engineering/07 - Compare All Features/03 - Build a model with cleaned original features.mp4 8.0K Applied Machine Learning Feature Engineering/07 - Compare All Features/03 - Build a model with cleaned original features.srt 9.8M Applied Machine Learning Feature Engineering/07 - Compare All Features/04 - Build a model with all features.mp4 8.0K Applied Machine Learning Feature Engineering/07 - Compare All Features/04 - Build a model with all features.srt 6.6M Applied Machine Learning Feature Engineering/07 - Compare All Features/05 - Build a model with reduced set of features.mp4 4.0K Applied Machine Learning Feature Engineering/07 - Compare All Features/05 - Build a model with reduced set of features.srt 27M Applied Machine Learning Feature Engineering/07 - Compare All Features/06 - Compare and evaluate all model variations.mp4 20K Applied Machine Learning Feature Engineering/07 - Compare All Features/06 - Compare and evaluate all model variations.srt 2.6M Applied Machine Learning Feature Engineering/08 - Conclusion 2.6M Applied Machine Learning Feature Engineering/08 - Conclusion/01 - How to continue advancing your skills.mp4 4.0K Applied Machine Learning Feature Engineering/08 - Conclusion/01 - How to continue advancing your skills.srt 2.6M Applied Machine Learning Feature Engineering/Exercise Files 2.6M Applied Machine Learning Feature Engineering/Exercise Files/Ex_Files_Applied_ML.zip 343M total
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