Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

18,339 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

Sep 24, 2020

Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.

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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May 8, 2024

nice

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Mar 6, 2024

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Nov 11, 2023

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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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good

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Jan 26, 2023

nice

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Jan 24, 2023

good

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Dec 29, 2022

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Jun 25, 2022

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Jun 13, 2022

good

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May 22, 2022

Nice

By Souvagya G

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May 15, 2022

nice