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The dataset contains data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP)

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hypothesis-testing k--nearest-neighbor-regression linear-regression multiple-regression-model

regression-on-combined-cycle-power-plant-data-set's Introduction

Hi there 👋, I'm Unnati Shah

MSCS @ University of Southern California

Coding

  • 🔭 I’m currently working on AI/ML Recommendation System & Matching Algorithm

  • 🌱 I’m currently learning BERT and also exploring different frameworks for Natural Language Processing.

  • 👯 I’m looking to collaborate on a project or idea that involves data-driven insights or require assistance with software development tasks.

  • 😄 Pronouns: she/her

  • 💬 Ask me about any topic within the realm of data and software!

  • 📫 Reach me at: [email protected]

  • ⚡ Fun fact I read and sketch! 👩‍🎨

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unnati-shah

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