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 Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One

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missyou123
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Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One Empty
MensajeTema: Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One   Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One EmptySáb Jul 24, 2021 8:56 pm
Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One B345f1b079ba06743b4f7c1e1f430fbb
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 6 Lectures (53m) | Size: 353.2 MB

Description
This course is the first in a two-part series that covers how to build machine learning pipelines using scikit-learn, a library for the Python programming language. This is a hands-on course containing demonstrations that you can follow along with to build your own machine learning models.

Learning Objectives
Understand the different preprocessing methods in scikit-learn
Perform preprocessing in a machine learning pipeline
Understand the importance of preprocessing
Understand the pros and cons of transforming original data into a machine learning pipeline
Deal with categorical variables inside a pipeline
Manage the imputation of missing values

Intended Audience
This course is intended for anyone interested in machine learning with Python.

Prerequisites
To get the most out of this course, you should be familiar with Python, as well as with the basics of machine learning. It's recommended that you take our Introduction to Machine Learning Concepts course before taking this one.

Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One Ac1f185c76b1b389bbf5d658e5b0363b

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