Evaluating Classification and Regression Systems (Machine Learning with Python for Everyone Serie...

Category: Tutorial


Posted on 2021-04-25, by 0nelovee.

Description


th_8ZsGcKH6fBumCgYKcvfM2xg6Fk3qOCoY.jpg[/url]
h264, yuv420p, 1280x720 | ENGLISH, 48000 Hz, 2channels | 3h 45mn | 6.82 GB





4 Hours of Video Instruction

vDescription

Code-along sessions move you from introductory machine learning concepts to concrete code.

Overview

Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond following along in discussions to coding machine learning tasks. These videos show you how to turn introductory machine learning concepts into concrete code using Python, scikit-learn, and friends.

You learn about the fundamental metrics used to evaluate general learning systems and specific metrics used in classification and regression. You will learn techniques for getting the most informative learning performance measures out of your data. You will come away with a strong toolbox of numerical and graphical techniques to understand how your learning system will perform on novel data.



https://rapidgator.net/file/4e5b360a441968fdbe5aeaf1fdb829ec/Evaluating_Classification_and_Regression_Systems.part1.rar.html
https://rapidgator.net/file/3b0b0589b5c46a3dcfd164ae4053722b/Evaluating_Classification_and_Regression_Systems.part2.rar.html
https://rapidgator.net/file/63eaac9d6044009aeedadadbd259b940/Evaluating_Classification_and_Regression_Systems.part3.rar.html
https://rapidgator.net/file/8770a84b5e99c94ab121af159b15e37a/Evaluating_Classification_and_Regression_Systems.part4.rar.html
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