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Learner Reviews & Feedback for The Nuts and Bolts of Machine Learning by Google

4.8
stars
617 ratings

About the Course

This is the fifth course in the Google Advanced Data Analytics Certificate. In this course, you’ll learn about machine learning, which uses algorithms and statistics to teach computer systems to discover patterns in data. Data professionals use machine learning to help analyze large amounts of data, solve complex problems, and make accurate predictions. You’ll focus on the two main types of machine learning: supervised and unsupervised. You'll learn how to apply different machine learning models to business problems and become familiar with specific models such as Naive Bayes, decision tree, random forest, and more. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Apply feature engineering techniques using Python -Construct a Naive Bayes model -Describe how unsupervised learning differs from supervised learning -Code a K-means algorithm in Python -Evaluate and optimize the results of K-means model -Explore decision tree models, how they work, and their advantages over other types of supervised machine learning -Characterize bagging in machine learning, specifically for random forest models -Distinguish boosting in machine learning, specifically for XGBoost models -Explain tuning model parameters and how they affect performance and evaluation metrics...

Top reviews

IH

Jan 15, 2024

Very useful course! Concise overview of strengths and weaknesses of various cutting edge machine learning techniques.

CM

May 18, 2024

This course helped me take my ML skills to another level entirely, I would certainly recommend it to anyone looking for a breakthrough in data analytics.

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76 - 100 of 104 Reviews for The Nuts and Bolts of Machine Learning

By serigne d l

•

Jan 22, 2024

EXCELLENT!

By Eloy G

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Apr 16, 2025

Excellent

By Samyar R

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Aug 18, 2024

great lab

By Anurag S

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Sep 30, 2023

Excellent

By STEALTH Z

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Jun 26, 2025

Exellent

By Quoc A T

•

Jul 15, 2024

Perfect

By Mattia D R

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Mar 7, 2024

perfect

By Justin H

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Nov 29, 2023

Brutal

By parvati B

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Nov 8, 2024

Great

By vrushabh G

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Sep 4, 2024

great

By Wassim R

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Mar 28, 2024

great

By Asad u K

•

Jan 27, 2026

Good

By Maiymona S

•

Jun 21, 2025

nice

By Harsh C

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Aug 24, 2024

n nm

By Inam U H

•

Aug 10, 2024

good

By Huy D V

•

Apr 4, 2024

nice

By Sarah S J

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Oct 21, 2025

05

By Tetiana B

•

Jul 13, 2025

+

By Zeng Y

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Aug 8, 2023

.

By Jim S

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Dec 29, 2024

Interesting information but probably the least useful of the courses. K-Means was a valuable concept that I will use later in research and at work.

By Vidushi G

•

Nov 2, 2025

Thank you Sushila mam for this course

By RM T

•

Jun 19, 2024

Good To Boost our skills

By pitipark J

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Jul 3, 2023

THE QUIZ IS SO HARD

By Laddu S

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May 4, 2025

Clear Explanation

By Aditya K

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Aug 26, 2024

very interesting