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Coursera

Mining Quality Prediction Using Machine & Deep Learning

In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regression models and visualize the performance of the best model using various KPIs.

状态：Exploratory Data Analysis
状态：Applied Machine Learning
初级指导项目小时

精选评论

AS

4.0评论日期：Sep 29, 2020

You must try, it will give great basic of practice.

MA

5.0评论日期：Aug 31, 2021

R​yan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.

FD

5.0评论日期：Jul 26, 2022

Excellent guided project. Falls in field of experience. Thank you.

所有审阅

显示：10/10

Alnie Demoral
5.0
评论日期：Oct 3, 2020
Mukarram Ahmed
5.0
评论日期：Sep 1, 2021
Francis Dakubo
5.0
评论日期：Jul 27, 2022
Umair
5.0
评论日期：Oct 5, 2022
Sugiyanto
5.0
评论日期：Jul 30, 2025
Nnadozie Osuji
5.0
评论日期：Sep 25, 2022
Sheila Vicente da Silva
5.0
评论日期：Sep 13, 2022
EISSA YAHYA SABEI
5.0
评论日期：Feb 8, 2024
Hamora Hadi
5.0
评论日期：Aug 9, 2020
Ahmad Iman Sudrajat
4.0
评论日期：Sep 30, 2020