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The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.

License: MIT License

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activation-functions deep-learning dense dropout epoch exploratory-data-analysis json keras-tensorflow learning-rate machine-learning matplotlib neural-network normalization python relu-activation sequencial sklearn

google-customer-revenue-prediction's Introduction

💫 Welcome to my GitHub

💡 I am Rajeev Kumar, A Software Engineer who is looking to grow as a Full-Stack Developer
🏆 My primary coding and problem-solving language is C++
💙 I love developing and researching
🧑‍🤝‍🧑 Looking for a team or an organization where I can learn and develop my skills
🌱 I’m currently working on Python, HTML, CSS, JS and PHP
💬 Ask me about Streamlit framework for quick website developemt
🎀 Completed Master's degree in Computer Science from NIT Trichy.
📫 You can connect me at [email protected]

🌐 Socials:

https://www.linkedin.com/in/rajeev-kumar-nitt/ https://www.kaggle.com/riyara https://youtube.com/@rajeevkumar-fb3in https://www.codechef.com/users/rajeev01091997 https://leetcode.com/1raj/ Stack Overflow

Technical Languages:

c cplusplus java python

💻 Tech Stack:

css3 git heroku bootstrap sass postman html5 java mongodb mysql oracle pandas php

📊 GitHub Stats:

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