Practicing Machine Learning Interview Questions in Python

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, 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

4 hours

Course Description

Are you able to prepare for an interview with Machine Learning? Most likely, you do. This course will prepare students to answer 15 Machine Learning interview questions to be considered for a position as a Python data scientist. These questions will be focused on seven key topics: data preprocessing, data visualization, supervised and unsupervised learning, as well as model selection, evaluation, and model ensembling. This course will provide students with the theoretical background as well as the skills necessary to write Python code to answer 15 questions. The scikit-learn program is the most popular ML tool in Python. It's easy to use and covers all important ML techniques. These topics are covered in the prerequisites.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Supervised Learning with scikit-learn

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Unsupervised Learning in Python

What You Will Learn

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Sharpen your knowledge in machine learning, and prepare for any potential question you might get in a machine learning interview in Python

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By the end of the course, the students will possess both the required theoretical background and the ability to develop Python code to successfully answer these 15 questions

Course Instructors

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Lisa Stuart

Data Scientist

Lisa Stuart is a Data Scientist with a wealth of industry experience. She is currently on the DSP Big Data Analytics Team at Amazon where she and her team use statistical analysis and machine learnin...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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