This project performs exploratory data analysis (EDA) on a car dataset. The goal is to understand the features, clean the data, identify patterns and insights, and prepare it for future machine learning or business intelligence tasks.
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This project involves exploratory data analysis (EDA) and data cleaning on an economic dataset. The aim is to prepare the data for further analysis or machine learning modeling by handling missing values, removing inconsistencies, and uncovering insights through statistical summaries and visualizations.
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This is a simple Python program that simulates a menu ordering system for a hotel called KHAJA HOUSE. The program displays a predefined menu with prices, allows the user to place multiple orders, and calculates the total bill while ensuring case-insensitive input handling.
View in DetailsPersonalized recommendation system for a large-scale e-commerce platform using collaborative filtering and deep learning.
View in DetailsData analysis project identifying key factors contributing to customer churn in a subscription-based model.
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