Aditya Ramachandran's repositories

Hacks

For online project submission in the HackQuarantine Online Hackathon

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Kaggle-Notebooks

Collection of all my Kaggle Notebooks

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cardiovascular-disease-detection

Major Project - Cardiovascular Disease Detection using Ensemble Learning

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SiesmoStream

SeismoStream is a real-time earthquake visualization tool that displays earthquake data on an interactive map.

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Aditya-Ramachandran

Github profile config files

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AQI-Globe

AQI Globe offers a visually appealing interface for exploring air quality index values across different cities worldwide.

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Coursera-Machine-Learning-

Contains codes of the ML courses taken on Coursera

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Dragon_Curve_Fractal

Coding the Dragon Curve fractal in using the Turtle module in Python

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Handwritten-Digits-Classification

The "Hello World" program in Deep Learning done using the MNIST Dataset

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HTTP_Server

This is a simple HTTP server made to understand the concept of Socket Programming.

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MarketMage

Unveiling Supermarket Sales Insights with Python and SQL-powered Dynamic Visualizations.

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RSA_Cryptography

Implemented a highly secure RSA cryptography algorithm in a server-client socket framework. This code can be used to save your passwords or other confidential data remotely to a server without any worries of it getting hacked.

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Java

All Algorithms implemented in Java

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pledge

We pledge to Code for Cause

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project-based-learning

Curated list of project-based tutorials

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Quantum-Error-Mitigation

This is an attempt to reduce the quantum noice we get when we run a circuit in a quantum computer.

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Quantum-Noise-Models

Building a noise model for simulating a Qiskit quantum circuit in the presence of errors.

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Railway-Reservation-System

Made a simple Railway Reservation System using Java

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Rubix-Cube-Solver

Made a program in C++ that solves a Rubix Cube

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Sketch-To-Image-Conversion

A repository for converting sketch images to their corresponding colour images using Generative Adversarial networks (GANs)

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Turn-On-The-Light

A simple and fun game developed using HTML, CSS and JavaScript

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zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.

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