Data science challenge hosted by drivendata
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Updated
Nov 1, 2020 - HTML
Data science challenge hosted by drivendata
I participated in a Kaggle competition where I predicted the prices of AirBnb rental listings in NYC using supervised machine learning techniques such as linear regression, trees and bootstrap (random forest and boosting).
The Heart Disease Prediction Website Project aims to create a user-friendly web application that utilizes machine learning to predict the likelihood of a person having heart disease based on input features. The project is built using HTML, CSS, JavaScript for the frontend, and Flask web framework for the backend.
Data analysis and prediction on airline customer satisfaction
Predicting Hepatocellular Carcinoma through Supervised Machine Learning
This project is an end to end data science project that is able to predict the chances of getting a disease I🤕🤒👩⚕️️ in organs like liver, kidey, heart, etc.
Loan Approval Predictor using python
Predicting Wine Quality with Random Forest Algorithm
HW for ISYE 6501: Ashish, Anshit & Abhinav
These are all my assignments from Statistical Analysis with R (a course I took at Bryant University). The assignments include data visualization, data cleaning and manipulation, modeling, creating functions and loops, and making packages. The major packages used are "ggplot2", "caret", "rpart", and "rattle", although there are others used as well.
This is a disease prediction app based on user-entered data. It predicts diseases like brain tumor, covid and also includes a BMI calculator.
Data Science Experiments
Context: Customer behavior prediction to retain customers
Heart Disease Prediction using Machine Learning
Alzheimer's Disease Classification using Decision tree
Machine Learning course offered by DeepLearning.AI and Stanford.
CardioCare: Predicting Heart Disease Risk
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