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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:

GitHub Instagram LinkedIn Medium Twitter

My GitHub Stats

GitHub Stats

Vidhi Waghela's Projects

ai-ml-cartoonifier icon ai-ml-cartoonifier

Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.๐Ÿ˜›

brain-tumor-detection icon brain-tumor-detection

Brain Tumor Detection using CNN: Achieving 96% Accuracy with TensorFlow: Highlights the main focus of your project, which is brain tumor detection using a Convolutional Neural Network (CNN) implemented in TensorFlow. It also emphasizes the impressive achievement of reaching 96% accuracy, which showcases the effectiveness of your model.

cyclegan-implementation-for-image-to-image-translation icon cyclegan-implementation-for-image-to-image-translation

๐Ÿ–ผ๏ธ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! ๐Ÿš€

dcnn icon dcnn

Achieving 98.43% Accuracy in Handwritten Digit Recognition Experience the potential of deep learning as we present our project on handwritten digit recognition using the MNIST dataset. Our deep neural network achieves an outstanding accuracy of 98.43%, showcasing the effectiveness of advanced techniques in the realm of machine learning.

deep-learning-for-eeg-emotion-classification icon deep-learning-for-eeg-emotion-classification

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.

disaster-tweet-classification-using-lstm icon disaster-tweet-classification-using-lstm

Developed a deep learning model using LSTM networks to classify tweets as disaster-related or non-disaster-related, vital for emergency response. Explored advanced EDA techniques, visualized tweet data insights, and achieved a high F1 score of 0.74. Check out the code and results!

emotion-classifier-with-deep-learning icon emotion-classifier-with-deep-learning

Welcome to the Emotion Classifier project! This repository contains a comprehensive solution for emotion classification using Natural Language Processing (NLP) and deep learning techniques.๐Ÿ˜ญ๐Ÿคฃ๐Ÿ™‚

essay-quality-prediction-keystroke-analysis-with-randomforest icon essay-quality-prediction-keystroke-analysis-with-randomforest

Explore the Essay Quality Prediction projectโ€”a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! ๐Ÿ“โœจ

face-recognition-system-in-python-using-facenet icon face-recognition-system-in-python-using-facenet

Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“ธ"

hr_employee_prediction icon hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

image-inpainting icon image-inpainting

๐ŸŽจ Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! ๐Ÿ–ผ๏ธ๐Ÿ”ฎ #ImageInpainting

kaggle-competitions-notebook icon kaggle-competitions-notebook

๐Ÿš€ Your Kaggle Hub: Competitions, Resources, Tips! Discover a one-stop repository for Kaggle competitions, coding tips, articles, and more. Open for collaboration and discussions, this space is dedicated to enhancing our collective knowledge. Join in, explore, and contribute to the Kaggle journey! ๐Ÿ’ป๐Ÿ“Š

llm---detect-ai-generated-text icon llm---detect-ai-generated-text

AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.๐Ÿš€

lung-cancer-detection-app icon lung-cancer-detection-app

๐Ÿ” Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. ๐Ÿ‘ฉโ€โš•๏ธ๐ŸŒŸ #AIHealthcare #LungCancerDetection

machine-learning-pipeline icon machine-learning-pipeline

Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! ๐Ÿ“Š๐Ÿš€"

malware-detection icon malware-detection

Welcome to the Malicious Executable Detection project! This repository explores the world of machine learning and clustering analysis to detect malicious executable files ๐Ÿ”ฅ๐Ÿ”

medical-image-segmentation-deep-learning-project icon medical-image-segmentation-deep-learning-project

Our project uses state-of-the-art deep learning techniques to tackle a vital medical task: polyp segmentation from colonoscopy images. We harness the Unet++ architecture and a robust tech stack to precisely detect and isolate polyps, advancing healthcare diagnostics and patient care. ๐Ÿฅ๐Ÿ’ก

multi-class-text-classification-using-bert-model icon multi-class-text-classification-using-bert-model

Predict consumer financial product categories using BERT, based on over two million customer complaints. This project involves data processing, model building with pre-trained BERT, and making predictions on new text data.

python-course icon python-course

Welcome to the Python Mastery Course Repository! Discover Python's depth and power through our meticulously crafted modules. From foundational concepts to advanced techniques, master loops, functions, data analysis with Pandas, and more. Join us in this exciting journey to Python proficiency! ๐Ÿ๐Ÿš€

regression-series icon regression-series

In this repository, we delve into the world of regression analysis. I have provided straightforward examples and in-depth explanations of both simple and multiple regression, helping you gain a solid grasp of these essential statistical techniques.๐Ÿ˜Žโœ…

robust-yield-prediction- icon robust-yield-prediction-

"Predicting a Greener Future ๐ŸŒพ๐Ÿ“Š Delve into the world of agriculture and data science with our Yield Prediction project. We harness machine learning and weather data to forecast crop yields accurately. Join us in cultivating smarter farming practices for a sustainable tomorrow."

scienceqa-insights-exploring-with-llms icon scienceqa-insights-exploring-with-llms

Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!

text-classification-model-with-attention-mechanism-nlp icon text-classification-model-with-attention-mechanism-nlp

This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.๐ŸŽฏ

word2vec-and-fasttext-word-embedding-with-gensim-in-python icon word2vec-and-fasttext-word-embedding-with-gensim-in-python

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.๐ŸŒŸ

zomato-data-analysis icon zomato-data-analysis

Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!

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