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)

Intro

Logistic Regression Overview

Linear regression review

Log-odds scale

Fitting a line with maximum likelihood

Slope coefficient

T-test using linear models

Design matrix example

Substituting in the numbers

Conclusion

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

Intro

Logistic Regression

Parameters of Logistic Regression

Sigmoid Function

Sigmoid of z

Parameter Notation

Alternative Notation for Logistic Regression

Conclusion

Intro

Breast Cancer Dataset

Scalar Logistic Regression

Import Dataset

Handling Missing Data

Building Logistic Regression Model

Logistic Regression Solver

Logistic Regression Parameters

Logistic Regression Accuracy

Conclusion

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

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

Recognizing Handwritten Digits

How Our Images Are Stored in a Computer

Reshape

Use a Random Number Generator

Logistic Regression

Logistic Predictions

Accuracy of Classifications Using Logistic Regression

Predicted Label

Create the Confusion Matrix

Confusion Matrix

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

Intro

The Logit Function

Logistic Regression Formula

Running Logistic Regression

Logistic Regression Results

Forecasting binary outcomes with logistic regression