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Gaurav Sekhri's Projects

bengaluru-house-price-prediction icon bengaluru-house-price-prediction

This repository contains a model that can predict the price of a house in Bengaluru. I have also defined a function that can predict the price of an house based on the desired number of BHK and area as an input.

boston-house-price-prediction icon boston-house-price-prediction

This repository contains Data Science Project that predicts the price of houses in Boston. I have evaluated the scores using Linear Regression, Decision Tree Regressor and Random Forest Regression. The dataset for this project is already available in scikit-learn datasets.

build icon build

Simple apps to practice. Once you have done the basics of web development through neog.camp levelZero you can start practising these apps.

corona-website icon corona-website

A website to help people, government and NGOs during Corona Virus Lockdown.

dcrust-result-checker icon dcrust-result-checker

This is a Python GUI Application that takes the help of web scrapping and determines whether the result of B.tech Computer Science 5th Semester has been declared or not.

diabetes-analysis-and-prediction icon diabetes-analysis-and-prediction

This repository contains a machine learning project on Diabetes Prediction on Indian Females. I have used regression & classification algorithms to find the best model with maximum accuracy.

face-detection-using-opencv icon face-detection-using-opencv

This repository contains a few lines of python code that can detect faces from any image. I have used haarcascade_frontalface_default.xml file that helps in detecting the faces in any image.

graph-plotter icon graph-plotter

This is a Python GUI Application in which a user can easily plot a graph just by selecting an excel, csv or json file.

image-classification-using-cnn icon image-classification-using-cnn

This repository contains a CNN model that is capable of performing binary classification between the images of car and aeroplane.

songs-website icon songs-website

This is a responsive songs website with title 'Musix'. Every song listed in this website has a direct downloadable link. I am trying to add as much features as I can, into this website.

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