Credit Risk Scorecard | Step-by-step explanation of Probability Calculation in Logistic Regression

Hello Friends,

Welcome to your own playlist on Retail Banking Analytics and Credit Risk Scorecard.

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Content of this Playlist:
1) Credit Risk Scorecard Framework
2) CRISP-DM Modeling Process
3) Data Understanding & Data Preparation
4) Window Definition
5) Target Variable Definition
6) Logistic Regression Concept
7) Logistic Regression Model Development in Python
8) Hypothesis Testing (p-value)
9) Probability Calculation
10) Probability to Double the Odds


If you would like to have the codes then the same is in my blogs - https://k2analytics.co.in/blog

The data files used in the video can be downloaded from the Resources section on our website: https://elearning.k2analytics.co.in/S...


In this Retail Banking Analytics channel, you will find videos on:

Retail Banking Domain
What is Credit Risk?
Applications of Predictive Modeling in Banking
Logistic Regression technique, the most used Machine Learning technique in Banking


The data files can be downloaded only by registered users who have subscribed to our services.

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#machinelearning #logisticregression #predictiveanalytics #python #scorecard
#riskscorecard #creditrisk