Linkedin Learning Applied Machine Learning Feature Engineering Online Class-ZH

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