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In this video, I build and explain my Minor Project titled “Telecom Network Call Drop Analysis using Exploratory Data Analysis (EDA)”. This project focuses on analyzing telecom call drop behavior to assess overall network quality. Using Python, I perform Exploratory Data Analysis (EDA) to study how different factors such as traffic load, weather conditions, time slots, and cell sites impact call drop rates. The complete project is built step by step in VS Code, and the code is explained while writing it live. Multiple graphs and visualizations are generated to make the analysis clear and easy to understand. 🔹 What you will learn from this video: How to calculate Call Drop Rate Exploratory Data Analysis (EDA) using Python Traffic-wise and Weather-wise call drop analysis Time slot-based and site-wise network performance analysis Data visualization using Matplotlib and Seaborn 🔧 Tools & Technologies Used: Python Pandas Matplotlib Seaborn VS Code 📂 GitHub Repository (Source Code): 👉https://github.com/Ayushdubey772/Telecom-N... This project is useful for: Minor Project submission Engineering and CS students Beginners learning Data Analysis and EDA Python-based real-world projects If you found this video helpful, please Like 👍, Share 📤, and Subscribe 🔔 for more Python and Data Analysis projects. Thank you for watching!