Basic Requirements

Before starting, ensure you have access to the following:

1. Google Colab: A cloud-based notebook environment used to write and execute Python code without requiring local installation.

2. Google Account: Required to access Google Colab and upload the telecom churn dataset.

3. CSV Telecom Dataset: A dataset containing customer information such as demographics, contract details, payment methods, service usage, tenure, monthly charges, total charges, and churn status.

4. Basic Python Knowledge: Understanding of Python syntax, variables, loops, functions, and basic data structures.

5. Basic Data Analysis Knowledge: Familiarity with concepts such as rows, columns, missing values, categorical variables, data types, and basic statistics.

6. Basic Machine Learning Understanding: Awareness of classification problems and evaluation metrics like accuracy, precision, recall, and F1-score.

Since the entire project is implemented in Google Colab, no local installation of Python or libraries is required.