SANTANDER-CUSTOMER-TRANSACTION-PREDICTION

In this project, we need to identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted. Number of attributes: You are provided with an anonymized dataset containing numeric feature variables, the binary target column, and a string ID_code column. The task is to predict the value of target column in the test set.

It is a classification Problem.

All the steps implemented in this project

1. Exploratory data analysis

2. Missing value Analysis

3. Data Visualization

4. Outlier Analysis

5. Feature Selection

   Correlation analysis

6. Feature scaling

   Standardization

                                         MODEL DEVELOPEMENT
   

a. Logistic regression

b. Random forest

c. Naive bayes