Logistic Regression&application as Classification Algorithm

提供方
Coursera Project Network
在此指导 项目中,您将:

C​reate a Linear Regression model

C​reate a Logistic Regression model and compare with Linear model

P​erform a classifcation task with Logit model

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this project, you will learn about Logistic Regression and its application as Classification Algorithm. The project demonstrates the theoretical background of Logistic Regression using the Sigmoidal function. It also explains the suitability of linear vs logistic regression to answer the specific types of research questions. Finally, it covers an implementation of classification algorithm using logit model. The project utilizes the 'Candy' dataset for illustrative purpose.

您要培养的技能

Logistic RegressionData AnalysisLinear RegressionClassification Algorithm

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Introduction to Logistic Regression

  2. Dataset and Linear Regression

  3. Logistic Regression and comparison with Linear Regression

  4. Classification Algorithm - Logit Model

  5. Model Evaluation

  6. Model Training

  7. Model Testing

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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