Pinned Repositories
ATS-System-gemini-vision-pro
🚀 Gemini Pro Vision ATS System: Revolutionize your job application process with our advanced Applicant Tracking System. Beyond traditional ATS capabilities, Gemini Pro Vision provides personalized feedback for resume enhancement using cutting-edge technology. Elevate your job prospects with precise analysis and tailored suggestions. 🌐
customer-segmentation
Diabetes-Prediction
🚀 Dive into the future of healthcare with my Diabetes Prediction ML Project! 🤖🩺 I've crafted a cutting-edge machine learning model that assesses the likelihood of diabetes, blending data science prowess with health insights. 📊💡 Empowering both healthcare professionals and individuals, my project aims to revolutionize diabetes risk
Edible-Mushrooms-ML-project
🍄 Mushroom Classifier Project 🌿 Dive into the fascinating world of mushrooms with my latest project! 🚀 Using Support Vector Machines (SVM) in machine learning, I've crafted a powerful model that predicts whether a mushroom is edible or poisonous based on its unique features.
Google-Stocks-Prediction
📈💰 Predict stock prices with a linear regression model and 50DMA data 🚀 🎯 Make informed investment decisions 🧠💰 👩🏫👨🏫 Train a model and generate predictions 🔮 🤝 Contribute to the future of stock prediction 🚀
omar-nahdi
omarnahdi
Config files for my GitHub profile.
OneAIStudio-sentiments-emotions-analyser
Spam-Detection-Model
Spam Detection with Naive Bayes Algorithm 🚀 is an advanced tool using machine learning to efficiently identify and filter spam messages. With the Naive Bayes classification algorithm, customizable thresholds, and seamless integration, this project offers a reliable solution for real-time spam protection 🛡️.
Titanic-Survivors-Prediciton
🚢 Titanic Survivor Prediction Model Predicting the likelihood of survival for Titanic passengers using a 🤖 machine learning model built with scikit-learn. The model is trained on a dataset featuring key attributes such as passenger class, gender, and age. Explore, use, and contribute to understand the factors influencing survival on the historic
omarnahdi's Repositories
omarnahdi/Google-Stocks-Prediction
📈💰 Predict stock prices with a linear regression model and 50DMA data 🚀 🎯 Make informed investment decisions 🧠💰 👩🏫👨🏫 Train a model and generate predictions 🔮 🤝 Contribute to the future of stock prediction 🚀
omarnahdi/Diabetes-Prediction
🚀 Dive into the future of healthcare with my Diabetes Prediction ML Project! 🤖🩺 I've crafted a cutting-edge machine learning model that assesses the likelihood of diabetes, blending data science prowess with health insights. 📊💡 Empowering both healthcare professionals and individuals, my project aims to revolutionize diabetes risk
omarnahdi/Edible-Mushrooms-ML-project
🍄 Mushroom Classifier Project 🌿 Dive into the fascinating world of mushrooms with my latest project! 🚀 Using Support Vector Machines (SVM) in machine learning, I've crafted a powerful model that predicts whether a mushroom is edible or poisonous based on its unique features.
omarnahdi/ATS-System-gemini-vision-pro
🚀 Gemini Pro Vision ATS System: Revolutionize your job application process with our advanced Applicant Tracking System. Beyond traditional ATS capabilities, Gemini Pro Vision provides personalized feedback for resume enhancement using cutting-edge technology. Elevate your job prospects with precise analysis and tailored suggestions. 🌐
omarnahdi/customer-segmentation
omarnahdi/omarnahdi
Config files for my GitHub profile.
omarnahdi/OneAIStudio-sentiments-emotions-analyser
omarnahdi/OneAIStudio-text-generation-GPT-4-
omarnahdi/Spam-Detection-Model
Spam Detection with Naive Bayes Algorithm 🚀 is an advanced tool using machine learning to efficiently identify and filter spam messages. With the Naive Bayes classification algorithm, customizable thresholds, and seamless integration, this project offers a reliable solution for real-time spam protection 🛡️.
omarnahdi/Titanic-Survivors-Prediciton
🚢 Titanic Survivor Prediction Model Predicting the likelihood of survival for Titanic passengers using a 🤖 machine learning model built with scikit-learn. The model is trained on a dataset featuring key attributes such as passenger class, gender, and age. Explore, use, and contribute to understand the factors influencing survival on the historic
omarnahdi/sih-github-tut
testing
omarnahdi/webfirst