Pinned Repositories
Face-Image-and-Handwritten-Letter-Image-Recognition-
Developed Machine Learning models in Python to correctly Recognize handwritten letter and face images by training and later testing the models. The machine learning algorithms developed were Support Vector Machine, K- Nearest Neighbor and Nearest Centroid Classifier.
Feature-Selection-using-F-test
Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and used the new dataset to train Machine Learning models, and later test the models with the help of testing data
Java
Machine-Learning-Projects
All the project I implemented for the Machine Learning course CSE 6363
parking-management
SEE-FOOD
The motivation for this project is taken from the famous TV series Silicon Valley. In this project, I have developed logistic regression and KNN classifiers to detect if the image of the food is hot dog or not
shortenURL
Designing/Developing a system to generate shortened URL
UTA-MAPS
Developed UTA-Maps to find any building on campus, shortest route between entrance of any two buildings on campus and types of buildings which are within a radius of any building on campus. The project was developed using SpatiaLite database, Python, QGIS. Dijkstra's Algorithm was implemented to find the shortest path.
parking_management_new
Initial commit Ignoring unnessary files
koreaditya's Repositories
koreaditya/Face-Image-and-Handwritten-Letter-Image-Recognition-
Developed Machine Learning models in Python to correctly Recognize handwritten letter and face images by training and later testing the models. The machine learning algorithms developed were Support Vector Machine, K- Nearest Neighbor and Nearest Centroid Classifier.
koreaditya/UTA-MAPS
Developed UTA-Maps to find any building on campus, shortest route between entrance of any two buildings on campus and types of buildings which are within a radius of any building on campus. The project was developed using SpatiaLite database, Python, QGIS. Dijkstra's Algorithm was implemented to find the shortest path.
koreaditya/Feature-Selection-using-F-test
Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and used the new dataset to train Machine Learning models, and later test the models with the help of testing data
koreaditya/Java
koreaditya/Machine-Learning-Projects
All the project I implemented for the Machine Learning course CSE 6363
koreaditya/parking-management
koreaditya/SEE-FOOD
The motivation for this project is taken from the famous TV series Silicon Valley. In this project, I have developed logistic regression and KNN classifiers to detect if the image of the food is hot dog or not
koreaditya/shortenURL
Designing/Developing a system to generate shortened URL