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Learner Reviews & Feedback for The Nuts and Bolts of Machine Learning by Google
376 ratings
About the Course
This is the sixth of seven courses 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 seven 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
SN
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Great for learning ML using Python and its libraries.
IH
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Very useful course! Concise overview of strengths and weaknesses of various cutting edge machine learning techniques.
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51 - 57 of 57 Reviews for The Nuts and Bolts of Machine Learning
By Inam U
•Aug 10, 2024
good
By Huy D V
•Apr 4, 2024
nice
By Zeng Y
•Aug 8, 2023
.
By RM T
•Jun 19, 2024
Good To Boost our skills
By pitipark J
•Jul 2, 2023
THE QUIZ IS SO HARD
By Aditya K
•Aug 26, 2024
very interesting
By VIVEK S
•Mar 8, 2024
bekar