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$49

Practical Machine Learning

Created by -

Jeff Leek, PhD,Roger D. Peng, PhD,Brian Caffo, PhD
,
Johns Hopkins University

0.00

(0 ratings)

English

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Overview

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

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USD 49

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Type: Online

This course includes

  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

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course image

USD 49

provider image

Type: Online

This course includes

  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

Practical Machine Learning

Created by -

Jeff Leek, PhD,Roger D. Peng, PhD,Brian Caffo, PhD
,
Johns Hopkins University

0.00

(0 ratings)

All Levels

Start Date: February 23rd 2021

Course Description

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

The information used on this page is how each course is described on the Coursera platform.

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About the Instructor

Jeff Leek, PhD,Roger D. Peng, PhD,Brian Caffo, PhD,Johns Hopkins University

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