Problem Statement
Task 1:-Prepare a complete data analysis report on the given data.
Task 2:-Create a predictive model which will help the bank to identify which customer will make transactions in future. Attribute Information: The dataset is anonymized so we cannot know which feature is what. There are a total of 200 features in this data set along with ID_code and target columns. The target columns contain 0 and 1 value where 0 means the customer will not do a transaction and 1 means the customer will do a transaction.
Note: You can skip EDA part in this project as feature names are not provided.
Model Comparison Report
Create a report stating the performance of multiple models on this data and suggest the best model for production.
Report on Challenges faced
Create a report which should include challenges you faced on data and what technique used with proper reason.