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This Python program analyzes a dataset (HousePricePrediction.xlsx) containing information about house prices. It utilizes pandas for data manipulation, matplotlib for plotting, and seaborn for visualizing correlations and distributions.

Python 100.00%
data-science data-visualization datasets houses npm plotting prediction-model seaborn

realestateml's Introduction

Hi My name is Pranav Kale!

Software Engineer | AI/Security | Entrepreneur | Business & IT

Skills

CC++GitJavaJavaScriptPHPPythonRubyGNU BashVS CodeXCodeHTML5ReactAngularCSS3BootstrapNodeJSFast APIMongoDBMySQLFlaskIllustratorPhotoshopAmazon Web Services.NETBlenderDigital OceanDockerLinuxMacOSPyTorchRaspberry Pi

Socials / Connections

  • 🔭 I’m currently working on AI prediction apps, software development, and building my e-commerce website.
  • 🌱 I’m currently learning cybersecurity principles and data science tools useful for creating robust programs.
  • 👯 I’m looking to collaborate on projects with big potential in cloud computing, consulting, and engineering space.
  • ⚡ Fun fact: I started coding at the age of 12 using Lua to develop high-quality video games on Roblox Studio.

🔥 My Stats :

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realestateml's People

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