Credit Risk Scorecard | Predictive Analytics | Retail Banking Analytics | Logistic Regression | k2analytics.co.in
6 videos • 12,644 views • by Rajesh Jakhotia Hello Friends, Welcome to your own playlist on Retail Banking Analytics and Credit Risk Scorecard. Follow the following steps to access the Data File used in this Video: Step 1) Register on our website (IT IS FREE) - https://elearning.k2analytics.co.in Step 2) Login Step 3) In Resources Section you will find the file HL_A_Scorecard_Data.csv Connect on Whatsapp: +91 8939694874 Email: ar.jakhotia@k2analytics.co.in 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. For notification of our instructor-led online session batches, subscribe to our Telegram group: https://t.me/joinchat/S7V-px0BVCpTu7ZK #machinelearning #logisticregression #predictiveanalytics #python #scorecard #riskscorecard #creditrisk