This project is part of the Graduate Rotational Internship Program at The Spark Foundation. It consists of two main tasks: Prediction Using Supervised Machine Learning Species Segmentation Using K-Means Clustering

Predict the percentage of an student based on the no. of study hours. ● This is a simple linear regression task as it involves just 2 variables. ● You can use R, Python, SAS Enterprise Miner or any other tool ● Data can be found at http://bit.ly/w-data ● What will be predicted score if a student studies for 9.25 hrs/ day?

Denguard is an AI-powered Django web application that predicts dengue outbreak risks and recommends smart municipal actions using machine learning. It leverages real-time weather data, historical case reports, and medical inputs to help both citizens and doctors stay alert and respond proactively.

Task 01 : Prediction using Supervised ML PROBLEM: Predict the percentage of student on the basis of study hours. What will be predict score if we a student studies for 9.5 houres/day?

Minor project during my internship at The Sparks Foundation

Data Science & Business Analytics Tasks

Denguard is an AI-driven Django app predicting dengue risks with real-time data. It helps users and doctors take proactive actions. 🌍🦟