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This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.

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coorelation data-exploration data-preprocessing data-science data-visualization deep-learning deep-learning-algorithms eeg-emotion-recognition emotion-prediction feature-analysis

deep-learning-for-eeg-emotion-classification's Introduction

Hi there! ๐Ÿ‘‹

I'm Vidhi Waghela, a Data Science researcher and Cybersecurity enthusiast based in India. Welcome to my GitHub space, where I blend data science ๐Ÿ”ฌ and cybersecurity ๐Ÿ›ก๏ธ to make a meaningful impact in the tech world. ๐Ÿš€

About Me

I'm passionate about developing machine learning algorithms for healthcare ๐Ÿฅ and fortifying digital realms with robust cybersecurity solutions ๐Ÿ›ก๏ธ. As the founder of Data Science Meets Cyber Security ๐Ÿ”ฌ, I take pride in being ranked among the top-15 cybersecurity researchers ๐Ÿฅ‡.

Always up for collaboration ๐Ÿค, tech discussions ๐Ÿ’ฌ, and seeking new challenges ๐Ÿ’ฏ. Let's join forces and build a better future together! ๐Ÿค

  • ๐ŸŒ Based in India
  • โœ‰๏ธ Reach out to me at [email protected]
  • ๐Ÿค Open to collaborations in the Intersection of Cybersecurity and Data Science, projects on Kaggle ๐Ÿ“Š, and Healthcare AI ๐Ÿฅ.

Skills

Computer Vision

OpenCV PyTorch TensorFlow scikit-image

Artificial Intelligence

scikit-learn PyTorch TensorFlow scikit-optimize

Machine Learning

scikit-learn PyTorch TensorFlow XGBoost SVM Linear Regression Logistic Regression Random Forest KNN K-Means Clustering XGBoost

Deep Learning

TensorFlow PyTorch PyTorch Lightning Keras CNN DNN RNN GAN

Programming Languages

C++ R Java Python JavaScript

Database & Frameworks

MySQL Flask Streamlit

Operating Systems & Cloud

macOS Linux Windows AWS Google Cloud

Connect with Me

Let's connect! Find me on:

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