Pinned Repositories
Machine-learning-NSynth-dataset
Works on the creation of a network for NSynth dataset. NSynth stands for Neural Audio Synthesis and is a dataset containing of about 300,000 musical notes that can be classified using their unique pitch, timbre and envelope.
BNMIT
DiseaseTracker
Application to track Covid 19 around the world.
GPS-interpretationa-and-optimization
A program to convert the GPS data into KML data that can be viewed in Google Earth
HSI
Inorder-to-Postorder
A simple python program that will help you with your manual work with trees and its conversion. Can be changed to inorder-preorder-postorder with slight modifications.
Leetcodecompanies
Mindex
MrudulaWebsite
Personal website
NSLwebsite
Mrudulav's Repositories
Mrudulav/Resume
Mrudulav/React-test
Mrudulav/DiseaseTracker
Application to track Covid 19 around the world.
Mrudulav/NSLwebsite
Mrudulav/HSI
Mrudulav/Leetcodecompanies
Mrudulav/Mindex
Mrudulav/MrudulaWebsite
Personal website
Mrudulav/Machine-learning-NSynth-dataset
Works on the creation of a network for NSynth dataset. NSynth stands for Neural Audio Synthesis and is a dataset containing of about 300,000 musical notes that can be classified using their unique pitch, timbre and envelope.
Mrudulav/Inorder-to-Postorder
A simple python program that will help you with your manual work with trees and its conversion. Can be changed to inorder-preorder-postorder with slight modifications.
Mrudulav/GPS-interpretationa-and-optimization
A program to convert the GPS data into KML data that can be viewed in Google Earth
Mrudulav/wikipedia-language-classification
This project will be investigating the use of decision trees and boosted decision stumps to classify text as one of two languages. Our task was to collect data and train them so that a given 15 word segment of text from either English or dutch. Our code will depict the best of its ability which language the text is in.
Mrudulav/terrain-maps
A simple intelligent system approach to generate optimal paths for orienteering during different seasons. Different background colors show the type of terrain like buildings, boulders, man-made objects and other notable features which can be referred from the table uploaded.
Mrudulav/BNMIT
Mrudulav/SmartCity