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Learner Reviews & Feedback for Principal Component Analysis with NumPy by Coursera Project Network

4.6
stars
294 ratings

About the Course

Welcome to this 2 hour long project-based course on Principal Component Analysis with NumPy and Python. In this project, you will do all the
machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is
to implement all the machinery of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. By the
time you complete this project, you will be able to implement and apply PCA from scratch using NumPy in Python, conduct basic exploratory
data analysis, and create simple data visualizations with Seaborn and Matplotlib. The prerequisites for this project are prior p...
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Top reviews

TS

Oct 4, 2020

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Oct 30, 2020

Good Introductory project to gain insights into PCA using Numpy and python.

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