Exploring ML Trends with ML Research Radar
![Deployment by streamlit](https://github.com/YoussefSultan/arXiv-ml-explorer/blob/main/blob.png?raw=true)
Using Streamlit's new experimental connection feature, this app seamlessly integrates with the ArXiv API and BERT enabling efficient summarization and exploration of the latest machine learning research.
Using Streamlit's new experimental connection feature, this app seamlessly integrates with the ArXiv API and BERT enabling efficient summarization and exploration of the latest machine learning research.
The app features a highly interactive geographical map that allows users to easily select points of interest and plan their travels with ease.
This is a small Python Function that allows you to see the variance, percentage of missing values and unique values within a dataset.
Whole Foods is a grocery store chain that specializes in selling organic foods. Many people who shop at Whole Foods have opted in for Amazon Prime memberships in order to make the most out of their shopping and achieve the best deals amongst all different types of products sold.
This project is a Python package created to show the average of those 4 categories to add up towards the whole day to be able to see total Macronutrients and Micronutrients for the day or month instead of total Macronutrients and Micronutrients for Breakfast, Lunch, Dinner, and Snacks.
Many today are quite cautious about their own weight, constantly trying to understand whether their body composition fits the standard. Most of the time, those who want to get an in-depth and highly accurate understanding of their body fat percentage must spend a pretty penny.