Name: Logistic Regression with NumPy and Python
Brand: Coursera
Availability: OnlineOnly
Rating: 4.5 (52 reviews)

Back to Logistic Regression with NumPy and Python

Learner reviews & feedback for Logistic Regression with NumPy and Python

4.5396 reviews

About this course

Welcome to this project-based course on Logistic 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, including gradient descent, cost function, and logistic regression, 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 build a logistic regression model using Python and NumPy, conduct basic exploratory data analysis, and implement gradient descent from scratch. 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.

Featured reviews

5.0Reviewed Apr 3, 2020

Thank You... Very nice and valuable knowledge provided.

5.0Reviewed Aug 29, 2020

Very helpful for learning logistic regression without using any libraries. Before taking this project one should have a clear understanding of Logistic Regression, then it will be very helpful

4.0Reviewed Jul 14, 2020

Gain more understanding about LR and gradient descent practically.

5.0Reviewed Jun 8, 2020

I really enjoyed this course. Thank you for your valuable teaching.

4.0Reviewed May 31, 2020

Very Interesting and useful course. It helped me gain additional values and techniques about logistic regression

5.0Reviewed Nov 7, 2021

Well explained all the basic components of gradient descent. Exactly as advertised.

4.0Reviewed Apr 1, 2020

Problem was that rhyme could not run for more than the alloted time because I had many errors in between because of which I couldn't complete my whole code in the given time.

5.0Reviewed May 23, 2020

Its a good course. Instructor is good. Lot of concepts cleared and enough practice has done.

All reviews

Showing: 20 of 52

Sambhaw Sharma

5.0

Reviewed Aug 2, 2020

Excellent course but requires prior theoretical knowledge of logistic regression and linear regression. I have a suggestion for the instructor. If possible, can you attach conceptual videos that are already available on Coursera like liner regression lecture by Andrew Ng or any other lecture, then it will be beneficial for students. Overall a good project for starters like me.

Thank you

Arnab Saha

5.0

Reviewed Aug 30, 2020

Very helpful for learning logistic regression without using any libraries. Before taking this project one should have a clear understanding of Logistic Regression, then it will be very helpful

CHINMAY BODAKE

5.0

Reviewed May 24, 2020

Its a good course. Instructor is good. Lot of concepts cleared and enough practice has done.

5.0

Reviewed Nov 8, 2021

Well explained all the basic components of gradient descent. Exactly as advertised.

Juan M. Barriola

5.0

Reviewed Jun 7, 2020

Great tool to practice what i learned in Andrew Yng's ML course about Log. Reg.

ramya saravanakumar

5.0

Reviewed Jun 9, 2020

I really enjoyed this course. Thank you for your valuable teaching.

Punam Patil

5.0

Reviewed Apr 4, 2020

Thank You... Very nice and valuable knowledge provided.

Thulasi Rao IPBA 20 Batch 05

5.0

Reviewed Sep 26, 2020

Able to follow project. Thanks for guiding

Mari M

5.0

Reviewed May 14, 2020

Clear explanation and good content. Thanks

Pulkit Singh

5.0

Reviewed Jun 18, 2020

good project got to learn a lot of things

Shruti Singhal

5.0

Reviewed Jul 21, 2020

Great course ! very informative

Thanks :)

Krishna M Thakur

5.0

Reviewed Aug 12, 2020

It is one of the best guided project.

Melissa de Carvalho Santos

5.0

Reviewed Jun 21, 2020

Please, keep doing good job

Pulkit Dikshit

5.0

Reviewed Oct 16, 2020

good course a lot to learn

Erick Márquez Ariza

5.0

Reviewed Jul 20, 2020

Excelente aprovechamiento

Pritam Biswas

5.0

Reviewed May 14, 2020

it was an nice experience

Shreyas Raorane

5.0

Reviewed Apr 25, 2020

Amazing. Must do this

Diego Rodolfo Gomez

5.0

Reviewed May 21, 2020

Great project!

jagadeeswari Nandivada

5.0

Reviewed May 28, 2020

nice overview

Anisetti Sai Kumar

5.0

Reviewed Apr 23, 2020

well balanced