Linear Regression vs Logistic Regression - What's The Difference?

Показать описание

Whether it's predicting the stock market, estimating the likelihood of a customer churning, or even guessing the type of fruit based on its color and shape, regression is a powerful tool in the data scientist's toolbox.

Linear regression can be applied to a wide range of problems where the goal is to predict a continuous outcome based on one or more independent variables. For example, you could use linear regression to predict the price of a house based on its size, location, and other factors.

Logistic regression, on the other hand, is typically used to predict a binary outcome, such as success or failure, win or lose. It is particularly useful for classification problems, where the goal is to predict which of two or more classes a given input belongs to. For example, you could use logistic regression to predict whether a customer will churn or not based on their behavior. You could also use it to predict whether an email is spam or not based on its content.

The Comparison Channel

Рекомендации по теме

Комментарии

this video just summarized a week worth of studying and coding

itstudent

That fruitless joke turned my smile upside down😂😂😂

moneymc

I'm trying to understand this. What has me puzzled about the explanation about linear regression is the relevance of the locations as stated in 1:28. Why mention this when it's not part of the equation? On the other hand, the prices aren't only dependable on the size. Where does the location information goes in the schematic because you only have 2 variables? Aren't you comparing apples and oranges? I apologize if these are silly questions, but I can't wrap my head around this.

TomvanLint-pr

Thanks for the video. Why does linear regression use a t test and logistic regression a z test ?

kauthrahntabadde-szbo

How do you handle ignoring a column while building a regression model in python? I want to keep the ID field in the model so I can identify the prediction of churn, but it is causing overfitting and making the model not very accurate.

MindyBrockdesigns

Hold up, this isn't a brewing video

JohnJohnson-wmit

good video, would remove the background music tho

WiiHack

Linear Regression vs Logistic Regression - What's The Difference?

Linear Regression vs Logistic Regression - What's The Difference?

Linear Regression vs Logistic Regression | Data Science Training | Edureka

Linear Regression vs Logistic Regression | Machine learning Algorithms Explained | Simplilearn

Regression Analysis: An introduction to Linear and Logistic Regression

StatQuest: Logistic Regression

Logistic Regression in 3 Minutes

Lec-6: Linear Regression Vs. Logistic Regression | Supervised Learning | Machine Learning

Logistic Regression [Simply explained]

Master Machine Learning Essentials: Learn Key Algorithms & Build Real-World Applications

Linear Regression in 2 minutes

Data Science Pronto! - Linear vs. Logistic Regression

Logistic Regression - Is it Linear Regression?

What's the difference between linear regression and logistic regression?

Linear Regression vs. Logistic Regression: Battle of Algorithms

Linear regression vs Logistic Regression

Linear Regression vs. Logistic Regression [in 60 sec.] #shorts

Linear Regression vs Logistic Regression 🔥

Linear vs Logistic Regression | Difference between Linear and Logistic Regression | Intellipaat

Linear Regression And Logistic Regression Explained in HINDI

Linear Regression vs Logistic Regression Explained

Interview Question : Logistic Regression vs Linear Regression | Machine Learning | Data Science

1 - Linear Regression vs Logistic Regression #machinelearning #linearregression #logisticregression

ML 11: Logistic & Linear Regression | Dependent & Independent Variables | Examples

🔥Linear Regression vs Logistic Regression: What's the Difference? #Shorts #Simplilearn