Model Building for Telco Customer Churn Prediction

Introduction

• Transition from Exploratory Data Analysis (EDA) to Model Building for churn prediction.
• Utilization of Telco customer churn dataset for analysis.

Libraries and Tools

• Importing necessary libraries: pandas (data manipulation) and sklearn (model evaluation and building).
• Key imports include: train_test_split, DecisionTreeClassifier, RandomForestClassifier, classification_report, confusion_matrix, and pickle.

Data Preparation

• Loading the pre-processed Telco customer churn dataset using pandas.read_csv().
• Displaying the first few rows to verify the structure and content.
• Removing redundant