Predictive Customer Default Logistic Regression
IHC - Data Analytics and Reporting: Industry Assignment Build a logistic regression model to predict the likelihood of a customer defaulting in next 12 months. The project involves following steps: 1. Univariate analysis to assess the data quality and summarization of the information available to build a logistic regression model. 2. Winsorization and missing imputation on the independent variables. 3. Bivariate analysis to assess the linear relationship between the dependent and independent variables. 4. Splitting the data into development and validation dataset and building a logistic regression model. 5. Assessing the model performance based on the development and validation data. Please answer the following questions based on the data set provided: Question # Question 1 ...
Keyword: Python
Delivery Time: 1 day left days
Price: $44.0
Data Analytics Data Engineer Data Mining Machine Learning (ML) Python
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