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Machine Learning with Python

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5

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Course Features

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Duration

21 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

21 hours

Course Description

This course will teach you how to use Python, a familiar and simple programming language, to machine-learn.

The course covers two main components. First, you will learn about Machine Learning and how it is applied in the real world.
The second gives an overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

This course will enable you to apply Machine Learning in real-life situations, and see how it affects society in unexpected ways.

For the next few months, you can do this by working only a few hours per semaine.

  1. You can add new skills to your resume, such as regression, clustering, and classification.
  2. You can add projects to your portfolio, such as cancer detection, prediction of economic trends, customer churn prediction and recommendation engines.
  3. To demonstrate your competence in machine-learning, you can get a certificate that you can share online or offline through LinkedIn profiles and social media.

If you complete the Coursera course, and earn the Coursera certification, you will be awarded an IBM digital badge.

Course Overview

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Virtual Labs

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Human Interaction

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Knowledge of Data Analysis using Python

What You Will Learn

Give examples of Machine Learning in various industries

Outline the steps machine learning uses to solve problems

Provide examples of various techniques used in machine learning

Describe the Python libraries for Machine Learning

Course Instructors

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SAEED AGHABOZORGI

Ph.D., Sr. Data Scientist

Saeed Aghabozorgi, PhD is a Sr. Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowle...
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Joseph Santarcangelo

Ph.D., Data Scientist at IBM

Joseph Santarcangelo is the instructor for this course

Course Reviews

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