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Engineered an innovative project for epilepsy disorder classification by harnessing EEG signals, attaining an outstanding accuracy rate of 95% in identifying diverse seizure types. Implemented sophisticated signal processing techniques and advanced machine learning algorithms, enhancing the system's precision and efficiency in classification.

MATLAB 100.00%
cleaning-data datapreprocessing deep-learning feature-extraction machine-learning matlab

epilepsy_disorder_classification_using_eeg_signals's Introduction

Hi 👋, I'm Jagan Ram Jaswanth Polamarasetti

Machine Learning Enthusiast

  • 🌱 I’m currently diving deep into LLM's, GANs and Gen AI

  • 🤩 Areas of Interests - Machine Learning, Deep Learning, Computer Vision & Natural Language Processing.

  • 📫 How to reach me [email protected]

Connect with me:

Jagan Ram Jaswanth jaswanth_0608

Languages and Tools:

python pandas tensorflow opencv seaborn matlab arduino c cplusplus css3 git html5

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