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学生对 Coursera Project Network 提供的 Principal Component Analysis with NumPy 的评价和反馈

4.6
296 个评分

课程概述

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....

热门审阅

HP

Sep 8, 2020

This is a great project. The instructor facilitates clear and practically.

TA

Oct 30, 2020

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

筛选依据:

1 - Principal Component Analysis with NumPy 的 25 个评论(共 50 个)

创建者 Rishit C

Jun 1, 2020

Some places the code used could have been simplified to be easier for the learner to understand. For example: (eigen_vectors.T[:][:])[:2].T was used in the course video but it can be replaced by eigen_vectors[:, :2]. The second one which I used is much simpler and cleaner to understand.

Thank You.

创建者 Pranav D

Jun 18, 2020

Did not focus on the mathematics part of PCA. The explanation could have been better and easy to understand.

创建者 Karina R B

Sep 10, 2020

Muy buena explicación para cada uno de los aspectos del PCA.

创建者 Jorge G

Feb 25, 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

创建者 Mohinder S

Jun 3, 2020

Well, this project seems to be very basic and can be created using WEBSITE LIKE:

https://www.geeksforgeeks.org/principal-component-analysis-with-python/

创建者 Zixiang M

Jun 11, 2020

The platform is really hard to use, the screen is small, and there're lags when I'm typing into the jupyter notebook on the virtual desktop.

创建者 Tanuj A

Oct 30, 2020

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

创建者 Hector P

Sep 9, 2020

This is a great project. The instructor facilitates clear and practically.

创建者 Mayank S

Apr 24, 2020

Learned Applying PCA

Concise course.

Liked the method of teaching.

创建者 Jose A

Jul 25, 2020

Good Exercise to practice and understand a little better.

创建者 LIN F

Nov 4, 2020

It's clear for the new learner to follow up. Thank you.

创建者 VIJAY K

Jul 17, 2020

Instructor is amazing, explains the things very well

创建者 Dr.T.Hemalatha c

Jun 9, 2020

simple and an elegant example to understand

创建者 Jayasanthi

Apr 25, 2020

Very good explanation with demo. Thank you.

创建者 Dr. C S G

Jun 9, 2020

This course is very useful in learning PCA

创建者 Punam P

May 12, 2020

Nice and Helpful course...Thanks to Team

创建者 Prajwal K

Nov 11, 2020

Thanks a lot Snehan .Learned a lot .

创建者 Dr. P W

May 30, 2020

This is good course for beginners

创建者 math t ( T

Dec 9, 2023

It is a good project coursework.

创建者 Syed A R

Nov 3, 2020

Excellent course and instructor.

创建者 Sitesh R

Jun 28, 2020

The couse was made very simple.

创建者 ENRICA M M

May 27, 2020

Corso davvero utile e semplice.

创建者 Oscar A C B

Jun 11, 2020

Just as simple as I needed!

创建者 ANURAG P

Jul 14, 2020

Great course for beginners

创建者 TUSHAR S

Oct 5, 2020

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