Chevron Left
Back to Principal Component Analysis with NumPy

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

4.6
stars
284 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 programming experience in Python and a basic understanding of machine learning theory. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed....

Top reviews

TS

Oct 4, 2020

V

e

r

y

g

o

o

d

G

u

i

d

e

d

e

p

r

o

j

e

c

t

TA

Oct 30, 2020

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

Filter by:

1 - 25 of 47 Reviews for Principal Component Analysis with NumPy

By Rishit C

Jun 1, 2020

By Pranav D

Jun 19, 2020

By Karina R B

Sep 10, 2020

By Zixiang M

Jun 11, 2020

By Tanuj A

Oct 31, 2020

By Hector P

Sep 9, 2020

By Mayank S

Apr 24, 2020

By Jose A

Jul 26, 2020

By LIN F

Nov 4, 2020

By VIJAY K

Jul 18, 2020

By Dr.T.Hemalatha c

Jun 9, 2020

By Jayasanthi

Apr 25, 2020

By Dr. C S G

Jun 9, 2020

By Punam P

May 12, 2020

By Prajwal K

Nov 11, 2020

By Dr. P W

May 31, 2020

By Syed A R

Nov 3, 2020

By Sitesh R

Jun 28, 2020

By ENRICA M M

May 27, 2020

By Oscar A C B

Jun 12, 2020

By ANURAG P

Jul 14, 2020

By TUSHAR S

Oct 5, 2020

By rishabh m t

Sep 25, 2020

By Gangone R

Jul 3, 2020

By Kamol D D

Apr 18, 2020