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Exploratory Data Analysis for Machine Learning

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Certification

Exploratory Data Analysis for Machine Learning

This course will introduce you to Machine Learning and the contents of the IBM Machine Learning Professional Certificate.

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Description

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Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

Python ProgrammingNoSQLData ScienceArtificial IntelligenceMachine LearningData AnalysisSQL

Learning Goals

Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud
Describe and use common feature selection and feature engineering techniques
Handle categorical and ordinal features, as well as missing values
Use a variety of techniques for detecting and dealing with outliers
Articulate why feature scaling is important and use a variety of scaling techniques

Course Content

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Target Audience

This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting.

Instructors

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Mark J Grover

Digital Content Delivery Lead

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Miguel Maldonado

Machine Learning Curriculum Developer

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Case-Based Learning

International faculty

Assessment and Grading

Graded quizzes and assignments

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Course Cover

This course includes

Duration

8 hours
Video Content
8 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English
0