filmov
tv
Logistic regression: or what is the probability of success?
Показать описание
Previous lectures:
1. Introduction to statistics
2. Linear regression vs. Statistical tests
Why do we need logistic regression
for predictions
for studying how things influence other things
Since logistic regression can easily handle both numerical and categorical predictors, it gives you the power to check literally anything on it’s ability to increase or decrease the probability (or the odds) of success.
Providing probabilities makes a logistic regression one of the most useful statistical tools for understanding the world. Such high interpretability is much more useful and pragmatic as compared to many other fancy machine learning techniques (generally called - classification). However, modern machine learning models may have a better predictive (or classification) performance, as compared to the logistic regression. Thus, if the only thing you care about is a prediction, learn other classification techniques (Random Forest or Neuronal Networks to name a few), but if you want to know how things work and what factors influence the probability of success, a logistic regression is the way to go!
1. Introduction to statistics
2. Linear regression vs. Statistical tests
Why do we need logistic regression
for predictions
for studying how things influence other things
Since logistic regression can easily handle both numerical and categorical predictors, it gives you the power to check literally anything on it’s ability to increase or decrease the probability (or the odds) of success.
Providing probabilities makes a logistic regression one of the most useful statistical tools for understanding the world. Such high interpretability is much more useful and pragmatic as compared to many other fancy machine learning techniques (generally called - classification). However, modern machine learning models may have a better predictive (or classification) performance, as compared to the logistic regression. Thus, if the only thing you care about is a prediction, learn other classification techniques (Random Forest or Neuronal Networks to name a few), but if you want to know how things work and what factors influence the probability of success, a logistic regression is the way to go!
0:08:48
StatQuest: Logistic Regression
0:03:48
Logistic Regression in 3 Minutes
0:14:22
Logistic Regression [Simply explained]
0:05:04
Linear Regression vs Logistic Regression - What's The Difference?
0:12:00
Explaining logistic regression
0:05:13
Machine Learning and Logistic Regression
0:03:25
Machine Learning Crash Course: Logistic Regression
0:06:50
Logistic Regression: An Introduction
1:08:17
Google Machine Learning Courses: Machine Learning Crash Course, Part 12 - Working w/ Numeric Data
0:17:34
Logistic Regression Simply Explained with Examples
0:19:02
Logistic Regression Details Pt1: Coefficients
0:06:37
Logistic Regression Machine Learning Example | Simply Explained
0:09:14
Logistic Regression - THE MATH YOU SHOULD KNOW!
0:10:01
Lec-5: Logistic Regression with Simplest & Easiest Example | Machine Learning
0:19:19
Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)
0:12:40
Tutorial 35- Logistic Regression Indepth Intuition- Part 1| Data Science
0:00:38
Logistic Regression CLASSIFIER has REGRESSION in its name? #InterviewQuestions #AVshorts
0:06:46
5 common interview question on logistic regression | How to explain logistic regression in interview
0:01:01
Linear Regression vs Logistic Regression 🔥
0:20:25
Logistic regression : the basics - simply explained
0:10:23
Logistic Regression Details Pt 2: Maximum Likelihood
0:00:12
What is Logistic Regression
0:00:26
#99 What is Logistic Regression | Data Science | Machine Learning Interview Question
0:00:27
Logistic Regression - Stepwise
Комментарии