T-test

Bank Customer Data Analysis :-

This project analyzes "customer demographics and financial details" to understand patterns in "banking, loans, and marketing campaigns".

Dataset Overview :-

The dataset contains "customer details" such as age, job, education, financial balance, and marketing interactions.

Dataset Description:-

Column	Description
ID	Unique customer identifier
age	Age of the customer
job	Job type (e.g., services, retired, self-employed, etc.)
marital	Marital status (single, married, divorced)
education	Education level (primary, secondary, tertiary)
default	Credit in default (yes/no)
balance	Customer account balance
housing	Has a housing loan (yes/no)
loan	Has a personal loan (yes/no)
contact	Contact communication type (cellular, telephone, unknown)
day	Last contact day of the month
month	Last contact month of the year
duration	Last contact duration (in seconds)
campaign	Number of contacts performed during this campaign
pdays	Days passed since last contact (-1 means no contact)
previous	Number of contacts performed before this campaign
poutcome	Outcome of the previous marketing campaign

Technologies Used

• Python
• Pandas (Data Handling)
• Matplotlib & Seaborn (Data Visualization)
• SciPy & Statsmodels (Statistical Analysis)
• Scikit-Learn (Machine Learning)