Diabetes is a global epidemic and a major public health concern. It affects millions of people worldwide, leading to serious complications if not managed properly.
Developing a predictive model can help identify individuals at high risk of developing diabetes, enabling early intervention and implementing preventive measures.
A diabetes prediction project serves as a showcase of the potential of artificial intelligence and machine learning in healthcare.
It demonstrates how these technologies can be harnessed to improve medical outcomes and contribute to evidence-based decision-making.
Berlin's public transport has always fascinated me. This intrigued me about its schedule management and accidents. The curiosity led me to do data analysis of accidents in Berlin.
This project provides insights of Road accidents happenend in year 2019. The insights emphasizes on most dangerous streets, regions and weather conditions etc.
India has population of nearly 1.5 billion. And this thought intrigued me if India is able to produce to feed its population. Rainfall plays an important role in crop production. Hence I have also included rainfall data as well.
This project provides insights of Crop production based on weather, rainfall and population.
Do you ever wonder how many people use bikes in your country? Which country has most bike riders?
Here is the Tableau dashboard that will provide insight of bike riders as per age group, country and many more.
Air Bnb data has listings in major cities, including information about hosts, pricing, location and room type.
This dataset provides insights about Average price per bedroom, zipcode etc.
In this project, I have used SQL to explore data of Covid Deaths and Vaccinations.
This project analyzes death & vaccination count worldwide. The data used in this project lies between 2020-01-01 and 2021-04-30. The details helps to analyze the death and vaccination count by country, continent, infection percentage and many more