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Sreshtha 's Projects

capstone-project-2 icon capstone-project-2

Corona Virus Sentiment Analysis.This challenge asks you to build a classification model to predict the sentiment of COVID-19 tweets.The tweets have been pulled from Twitter and manual tagging has been done then.

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

data-science-portfolio icon data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

des icon des

Encryption and decryption using DES

emotion-recogniton-from-eeg-signals icon emotion-recogniton-from-eeg-signals

Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented various signal transforming algorithms like the DWT algorithm.

kmedoids icon kmedoids

The Partitioning Around Medoids (PAM) implementation of K-Medoids algorithm in Python.

ml-class icon ml-class

Machine learning lessons and teaching projects designed for engineers

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

oralscreen icon oralscreen

Code of paper "A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images"

owasp-testing-checklist icon owasp-testing-checklist

OWASP based Web Application Security Testing Checklist is an Excel based checklist which helps you to track the status of completed and pending test cases.

pam icon pam

A simple implementation of PAM for K-Medoids in python using numba and theano

pmis icon pmis

Odoo as a Project Management Information System

prediction_using_decisiontree icon prediction_using_decisiontree

For the given β€˜Iris’ dataset, create the Decision Tree classifier and visualize it graphically. The purpose is that if we feed any new data to this classifier, it would be able to predict the right class accordingly.

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