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Shambhavi Aggarwal's Projects

acadivity icon acadivity

A web app to help students to optimize their everyday life, and keep their productivity high!

boston-housing icon boston-housing

I have used scikit-learn's Boston dataset that has a given set of features that describe a house in Boston and our machine learning model must predict the house price. Performed Exploratory Data Analysis on the data and used Linear Regression to predict the target variable.

charity-dataset- icon charity-dataset-

Here, The is data collected from the U.S. census, to help CharityML (a fictitious charity organization) identify people who are most likely to donate to their cause. Here, we have to predict that if the income of a row is '<=50' or '>50'. I have used 9 different algorithms to check which performs the best on the data and then tuned it according to the dataset.

deepfill icon deepfill

Pytorch Implementation of DeepFill Paper for Free Form Image Inpainting

gans icon gans

Pytorch implementation of several seminal GAN papers

gitg0 icon gitg0

A magnificent tool to auto-suggest everything you need before pushing a git commit.

helpinghand icon helpinghand

Leveraging Intelligent Processing Tools and Algorithms to help the Visually Impaired see and navigate πŸ’₯✨

knightinthenight icon knightinthenight

This is a Halloween based Godot game πŸŽƒ. You need to help Rohan the Knight fight his way through the haunted mansion and get candy βš”οΈ

machine-learning icon machine-learning

This repository contains all the notebooks I made while learning Machine Learning.

mlh-projects icon mlh-projects

Portfolio page consisting of the work I did as a part of the MLH Fellowship(Fall 2020): Explorer Program

moneygame-androidapp icon moneygame-androidapp

Learn investment in the stock market without risks. πŸŽ‰ (Mobile App) Demo πŸ”½

moneygame-frontend icon moneygame-frontend

Learn investment in the stock market without risks. πŸŽ‰ (WebApp) Demo πŸ”½

quantum icon quantum

Getting started with Qiskit & Pennylane

sneakysketchers icon sneakysketchers

A python desktop application that allows you to do image inpainting by directly drawing on it.

spam-or-ham icon spam-or-ham

I have used the SMS Spam Collection Dataset. It contains the text of 5572 SMS messages and a label, classifying the message as "spam" or "ham". I have implemented Bag of Words from scratch and then I have used scikit learn's implementation of Bag of Words to transform the entire dataset. Further, I have used the Naive Bayes algorithm to classify the messages into "spam" or "ham".

stanford-dogs- icon stanford-dogs-

Compared various state of the art deep learning models on Stanford Dogs dataset

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