arpita739/data-science-project-on-prediction-of-bengaluru-housing-price

This data science project series walks through step by step process of how to build a real estate price prediction website. I will first build a model using sklearn and linear regression using bangaluru housing prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css, bootstrap and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price. During model building I will cover data science concepts such as data loading and cleaning, outlier detection and removal, feature engineering, dimensionality reduction, gridsearchcv for hyperparameter tunning, k fold cross validation etc.

Hi there 👋 Welcome to my GitHub Profile

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Education

University	Degree	Stream	Year
Friedrich–Alexander University Erlangen–Nürnberg,Germany	Master of Science	Artificial Intelligence Minor: Artificial Intelligence in Biomedical Engineering	2021-Present
Maulana Abul Kalam Azad University of Technology,India	Bachelor of Technology	Computer Science and Engineering	2017-2021

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Publications 📋 ✒️

1. COVID-19 Detection from Lung CT-Scan Images using Transfer Learning Approach

Developed a model which is able to classify COVID-19(+ve) and COVID-19(-ve) patients precisely with an accuracy of 97% using Transfer Learning approach. The model represents excellent diagnostic ability with an AUC score of 0.99 on an augmented dataset. Machine Learning: Science and Technology Journal



2. Real-time Vernacular Sign Language Recognition using MediaPipe and Machine Learning
International Journal of Research Publication and Reviews

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