kishannk11
Freelance Web-Developer, Android/iOS Developer Software Engineer @NousInfosystems
Nous InfosystemsBangalore
Pinned Repositories
datasets
A collection of datasets of ML problem solving
event_management
Event Management Website, for a Company!
law-affair
legalkarnataka
localhackday.github.io
medinouspp
Medinous Patient Portal, connecting to GitHub to test how Flutter flow git works
mlh-localhost-github
This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.
Plant-Disease-Detection
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
portfolio-final
This is Kishan Nayak's final draft of Portfolio
ProjectResort
Sarva Resorts
kishannk11's Repositories
kishannk11/ProjectResort
Sarva Resorts
kishannk11/datasets
A collection of datasets of ML problem solving
kishannk11/event_management
Event Management Website, for a Company!
kishannk11/law-affair
kishannk11/legalkarnataka
kishannk11/localhackday.github.io
kishannk11/medinouspp
Medinous Patient Portal, connecting to GitHub to test how Flutter flow git works
kishannk11/mlh-localhost-github
This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.
kishannk11/Plant-Disease-Detection
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
kishannk11/portfolio-final
This is Kishan Nayak's final draft of Portfolio
kishannk11/ProjectWMS
My College Project names as E-Swacch Bharath.
kishannk11/resume-extractor
Data Extractor from Resume, which will help Admin to extract from resume and filter them based on Skills and Years of Experience
kishannk11/test