Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

18,236 ratings

About the Course

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomial, and logistic regression. Then move into supervised models such as decision trees, K-Nearest Neighbors, and support vector machines. You’ll also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you’ll practice model evaluation, cross-validation, regularization, and pipeline optimization. A final project on rainfall prediction and a course-wide exam will help you apply and reinforce your skills. Enroll now to start building machine learning models with confidence using Python....

Top reviews

Oct 8, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

Dec 31, 2019

could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice

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Aug 25, 2024

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May 8, 2024

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Jan 17, 2024

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Jan 17, 2024

Nice

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Nov 11, 2023

cool

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Oct 16, 2023

good

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Oct 16, 2023

Good

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Sep 19, 2023

nice

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Sep 1, 2023

well

By Umar M Y

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Jul 12, 2023

100%

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May 29, 2023

good

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Apr 13, 2023

good

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Jan 26, 2023

nice

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Jan 23, 2023

good

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Dec 29, 2022

Good

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Sep 7, 2022

good

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Sep 5, 2022

good

By NAGALLI Y V T C

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Aug 10, 2022

Good