This repository is dedicated to the preliminary data analysis of the Cardio Good Fitness - a retail store for treadmills. The analysis is a part of the "Fundamentals of AIML" course and aims to explore customer demographics and purchasing details to derive insights that could potentially drive sales strategies.
Cardio Good Fitness (CGF) wants to understand the characteristics of its customers which influence the purchase of treadmills. The project involves a thorough analysis of the available data to build customer profiles that can help the business capitalize on new market opportunities or enhance existing strategies.
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Preliminary Data Analysis: Explore the dataset in depth, understanding the key statistics, distributions, and relationships between different variables.
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Customer Profiling: Based on the data exploration, define various customer profiles that exhibit different characteristics in their buying patterns.
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Insights and Recommendations: Extract actionable insights from the data that can directly influence sales strategies and decisions. Provide recommendations to drive business growth.
Before you begin, ensure you have met the following requirements:
- You have installed the latest version of analytical software (like Python, R, SPSS, or any other relevant tool).
- You have a basic understanding of data analysis concepts and methods.