Customer-Churn-Prediction
Customer Churn Prediction | Python, numpy, pandas, tensorflow, keras,smote
• Performed various data pre-processing steps like data filtering,null value handling,outlier detection and handling
• Performed One Hot Encoding and Label Encoding to convert text data to numeric
• Used MinMaxScaler to scale data and SMOTE to handle imbalanced data.
• Predicted churn for customer using ANN with 85.45% accuracy and Random Forest Classifier with 75% accuracy