Vigneshsab
Master of Computer Science student at NC State University || Btech CSE VIT'20 || Data Scientist || Artist
Raleigh, NC
Pinned Repositories
Autism-Prediction-using-Logistic-Regression
To predict autism for all age groups as early as possible
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Classification-using-CNN
CNN is used for classifying dogs and cats
Image-and-object-detection-and-recognition-in-images-and-videos
This project automatically detects objects in images and recognizes them using a pretrained model such as ResNet and ImageAI. This also recognizes objects in videos by taking each frame as an image and predicting them.
Predicting-failure-of-Turbofan-using-LSTM
Pump-failure-prediction-using-Keras
This project aims to analyze and implement a model for a pump dataset, which consists of 50 sensors and 5,00,000 datapoints. This model predicts whether the pump will fail in the next 24 hours using sampled data from the original dataset.
Solar-Power-Generation-Prediction-and-Maintenance
This was an independent project implemented to help the world transition to a sustainable form of energy. In this project, data was gathered from the sensors in the solar plant and used to implement predictive models. The models implemented were able to predict the power generated and identify the need for maintenance in the plant.
Terrain-Identification-from-Time-Series-Data
This project aims to classify the different types of terrain using time series data. A LSTM model is implemented to give accurate predictions. The predictions are evaluated using the F1 score.
Toxic-Comment-Classification-using-CNN
Uplift-Modelling-to-maximize-revenue-through-marketing-campaigns
This project discusses about the various types of Uplift Modelling. A sample dataset which contains many parameters including Promotion, Response etc.. were given as an input to the models. These models would predict the max. revenue the company could generate using different approaches of Uplift Modelling.
Vigneshsab's Repositories
Vigneshsab/Uplift-Modelling-to-maximize-revenue-through-marketing-campaigns
This project discusses about the various types of Uplift Modelling. A sample dataset which contains many parameters including Promotion, Response etc.. were given as an input to the models. These models would predict the max. revenue the company could generate using different approaches of Uplift Modelling.
Vigneshsab/Pump-failure-prediction-using-Keras
This project aims to analyze and implement a model for a pump dataset, which consists of 50 sensors and 5,00,000 datapoints. This model predicts whether the pump will fail in the next 24 hours using sampled data from the original dataset.
Vigneshsab/Solar-Power-Generation-Prediction-and-Maintenance
This was an independent project implemented to help the world transition to a sustainable form of energy. In this project, data was gathered from the sensors in the solar plant and used to implement predictive models. The models implemented were able to predict the power generated and identify the need for maintenance in the plant.
Vigneshsab/Terrain-Identification-from-Time-Series-Data
This project aims to classify the different types of terrain using time series data. A LSTM model is implemented to give accurate predictions. The predictions are evaluated using the F1 score.
Vigneshsab/Autism-Prediction-using-Logistic-Regression
To predict autism for all age groups as early as possible
Vigneshsab/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Vigneshsab/Classification-using-CNN
CNN is used for classifying dogs and cats
Vigneshsab/Image-and-object-detection-and-recognition-in-images-and-videos
This project automatically detects objects in images and recognizes them using a pretrained model such as ResNet and ImageAI. This also recognizes objects in videos by taking each frame as an image and predicting them.
Vigneshsab/Predicting-failure-of-Turbofan-using-LSTM
Vigneshsab/Toxic-Comment-Classification-using-CNN
Vigneshsab/Freecodecamp
This is just a practice of what i have learnt in FreeCodecamp. This is done using HTML, Bootstrap
Vigneshsab/HCI-project
This is a front end site of a bus reservation project.
Vigneshsab/LeetCode
This repository consists of various leetcode questions with solutions
Vigneshsab/Liver-Disease-Prediction
Predicts whether a person has liver disease or not.
Vigneshsab/Red-wine-prediction
A simple wine prediction system which uses regression algorithms to predict the quality of the wine by considering other independent variables.
Vigneshsab/Sleepy-Driver
This an application created using OpenCV to detect drowsiness of a driver
Vigneshsab/Startup-Profit-Prediction
A dataset of 50 startups is given with some details like Research, Administration and their profit.
Vigneshsab/Streamline-workflow-of-medical-image-analysis
This project is used to find diseases based on the skin images. Instead of doctors seeing the images and predicting what disease he might have, this system automatically analyses the images and predicts what disease he has. This is an AI based system which classifies skin cancer in real time with the help of android smartphones.
Vigneshsab/tribute-page
This is a tribute page of Abraham Lincoln. This was my first project in FreeCodecamp.
Vigneshsab/Vigneshsab
Vigneshsab/wholesale-chain-dbms
This is a wholesale-store chain Database System. We have used MariaDB and JDBC together to construct this system. This is based on the Entity-Relationship model.
Vigneshsab/WowPizza
Front End and Backend of a pizza website. Wowpizza takes orders from customers