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This project explores the realm of Natural Language Processing (NLP) using Word2Vec and FastText models. Dive into domain-specific embeddings, analyze clinical trials data related to Covid-19, and uncover the power of AI and ML in understanding textual data.🌟

Jupyter Notebook 99.54% Python 0.46%
fasttext-embeddings genism jupyter-notebook machine-learning matplotlib nlp nltk numpy pandas plotly

word2vec-and-fasttext-word-embedding-with-gensim-in-python's Introduction

Hi there! 👋

I'm Vidhi Waghela, a Data Science researcher and Cybersecurity enthusiast based in India. Welcome to my GitHub space, where I blend data science 🔬 and cybersecurity 🛡️ to make a meaningful impact in the tech world. 🚀

About Me

I'm passionate about developing machine learning algorithms for healthcare 🏥 and fortifying digital realms with robust cybersecurity solutions 🛡️. As the founder of Data Science Meets Cyber Security 🔬, I take pride in being ranked among the top-15 cybersecurity researchers 🥇.

Always up for collaboration 🤝, tech discussions 💬, and seeking new challenges 💯. Let's join forces and build a better future together! 🤝

  • 🌍 Based in India
  • ✉️ Reach out to me at [email protected]
  • 🤝 Open to collaborations in the Intersection of Cybersecurity and Data Science, projects on Kaggle 📊, and Healthcare AI 🏥.

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

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C++ R Java Python JavaScript

Database & Frameworks

MySQL Flask Streamlit

Operating Systems & Cloud

macOS Linux Windows AWS Google Cloud

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Let's connect! Find me on:

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