Awesome song and introduction

Review of linear regression

Logistic regression overview

Logistic regression vs Linear regression

Summary of concepts

Intro

Logistic regression problem

Objectives

Interpreting a scatterplot

What is Logistic Regression?

Why logistic regression?

Nonlinear regression

Probabilities are often not linear

Outline

Outro

Intro

Simple linear regression

Linear Regression

Scientific approaches to logistic regression

Logistic regression formula

Conclusion

Interpreting logistic regression

Projecting values onto the curve

Predicting Y values

Insights from a logistic regression model

Awesome song and introduction

Load and format data

Dealing with missing data

Verifying that the data is not imbalanced

Logistic regression with one independent variable

Logistic regression with many independent variables

Graphing the predicted probabilities

What is a Regression

Difference between Linear Regression and Logistic Regression

Example Logistic Regression

Why do we need Logistic Regression?

Logistic Function and the Logistic Regression equation

How to interpret the results of a Logistic Regression?

Logistic Regression: Results Table

Logistic Regression: Classification Table

Logistic Regression: and Chi Square Test

Logistic Regression: Model Summary

Logistic Regression: Coefficient B, Standard error, p-Value and odds Ratio

ROC Curve (receiver operating characteristic curve)

Theory (Explain difference between logic regression and classification)

What is logistic regression?

Classification types (Binary vs multiclass classification)

Explanation of logistic regression using the example of if person will buy insurance based on his age

Sigmoid or Logit function

Coding (for coding we are using an example of if a person will buy insurance or not based on his age)

sklearn predict_proba() function

Exercise (Solve a problem of predicting employee retention based on salary, distance to work, promotion, department etc)

Intro

Preparing Data

Training

Predicting

Evaluating

Intro

Linear regression vs binary logistic regression

Threshold values

Logistic regression for pumpkin colors

Multinomial and ordinal logistic regression

Opening example data

Fitting a logistic regression model

Logistic regression output

Estimated odds ratios

Standard error and z-score

Reporting estimated coefficients

Conclusion

Linear regression vs logistic regression

What is logistic regression?

Linear Regression

Categorical Outcomes

Linear Regression in Discrete Data

Logistic Regression as a Generalized Linear Model

Problems with Linear Models

What is a logistic function?

Recap

Logistic Regression Example in R

Intro

Simple Linear Regression

Categorical Variables

Logistic Regression Equation

Logistic Regression Graph

Predicting Probabilities

Projecting values onto the curve

Interpreting Probabilities

Predicted Y-hat values

Conclusion

Logistic regression

R code for logistic regression

When to use simple logistic regression

Example

Interpreting the slope

Interpreting log odds

What is the null deviance?

Interpreting the weight coefficient

Interpreting the intercept

Interpretation of output

Intro

The Logit Function

Logistic Regression Formula

Running Logistic Regression

Logistic Regression Results

Forecasting binary outcomes with logistic regression

Computing a Forecast

Forecasting Probabilities

Logistic Regression Improvements

Advantages of Logistic Regression

Introduction

What is Supervised Learning?

What is Classification?

What is Logistic Regression?

Comparing Linear and Logistic regression

Logistic regression applications

Use case - Predicting the number in an image