DataAnalyticscourse

 theforage.com 

  Here is your task Before any predictive modeling can take place, it’s crucial to ensure that the dataset you’re working with is complete, accurate, and free of inconsistencies.  In this task, you will conduct an  EDA on Geldium’s dataset  to help Tata iQ’s analytics team and Geldium’s decision-makers understand the current state of their data. Your analysis will shape how the company refines its delinquency risk model and improves its intervention strategies. Here are the steps: Step 1: Review the dataset and identify key insights Before predictive modeling can begin, it’s essential to understand the dataset’s structure and assess its quality. In this first step, you'll  examine Geldium’s dataset  to spot any issues and identify early risk indicators. What to do: Open the dataset and review the key columns. Use the  Dataset Description Guide  to understand what each variable represents. Use a GenAI tool (like ChatGPT or DeepSeek) to help quickly...