Chevron Left
Voltar para Multiple Linear Regression with scikit-learn

Comentários e feedback de alunos de Multiple Linear Regression with scikit-learn da instituição Coursera Project Network

4.5
estrelas
344 classificações

Sobre o curso

In this 2-hour long project-based course, you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper. By the end of this project, you will be able to: - Build univariate and multivariate linear regression models using scikit-learn - Perform Exploratory Data Analysis (EDA) and data visualization with seaborn - Evaluate model fit and accuracy using numerical measures such as R² and RMSE - Model interaction effects in regression using basic feature engineering techniques 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, this means instant access to a cloud desktop with Jupyter Notebooks and Python 3.7 with all the necessary libraries pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Melhores avaliações

HP

15 de set de 2020

This project is great. Clearly explained and well delivered. I will highly recommend to take this project. The instructor is great!

IB

7 de fev de 2021

Well paced, very informative, I felt I learnt skills that I can apply to practical problems immediately.

Filtrar por:

1 — 25 de 55 Avaliações para o Multiple Linear Regression with scikit-learn

por Roland N L

•

12 de nov de 2019

por Nicholas S

•

13 de mar de 2021

por Mayank S

•

29 de abr de 2020

por Hector P

•

15 de set de 2020

por Ibtisaam B

•

8 de fev de 2021

por Zahid Y

•

23 de mai de 2020

por Diego R G

•

31 de mar de 2020

por Mohammed A S

•

29 de mai de 2020

por mdasif r e

•

1 de mai de 2020

por Ana C d A M

•

27 de out de 2020

por Hafizah A R

•

30 de mai de 2020

por Agnim s

•

16 de jul de 2020

por MALKAREDDY K R

•

5 de mai de 2020

por Rajkumar R

•

5 de out de 2020

por SENTHILVADIVEL S

•

16 de jun de 2020

por Doss D

•

14 de jun de 2020

por Gangone R

•

4 de jul de 2020

por Suci K P

•

22 de jul de 2020

por Nandivada P E

•

15 de jun de 2020

por Carlos M C F

•

20 de ago de 2020

por Anitha V

•

10 de jul de 2020

por Julio T

•

11 de set de 2020

por Aniruddh M

•

29 de jul de 2020

por MD Z A E 1 V C

•

2 de mai de 2020

por F 1 B

•

3 de set de 2022

Coursera Footer

Comece ou impulsione sua carreira

Procurar temas populares

Cursos e artigos populares

Consiga um diploma ou certificado on-line

Coursera

Comunidade

Mais

Aprenda em qualquer lugar
Placeholder
Placeholder
Placeholder