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Analyzes user behavior and demographic data to create distinct user segments for targeted advertising and personalized experiences.

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User-profiling-and-segmentation

This project focuses on analyzing user demographic data to create meaningful segments for targeted advertisements. Using Python, we explore key features such as age, gender, education level, and income distribution to gain insights into user behavior and preferences.

Features

Data Preprocessing: Handling missing values and cleaning user profile data. Exploratory Data Analysis (EDA): Visualizing key demographic distributions using Matplotlib and Seaborn. User Segmentation: Categorizing users into different segments based on demographic attributes. Insights for Targeted Ads: Identifying trends that help in crafting effective ad strategies.

Technologies Used

Python
Pandas
Matplotlib
Seaborn

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Analyzes user behavior and demographic data to create distinct user segments for targeted advertising and personalized experiences.

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