Pinned Repositories
ASSEMBLER1
backup-of-all-days
cache
MagicMatrix
Full fletched magic matrix java code(singly even ,odd,doubly even)
News-Categorization-using-classifiers-and-Ensemble-Learning-in2016-.
The project is developed in Python. Step 1: Developed a crawler in python using which I collected the news of different categories from www.bing.com. For example, Education, Awards, Rape, Acid attack, Terrorist reform, Science etc. Step 2: Determined the accuracy of different classifiers on news data set like, Random Forest, Decision Tree, SVM. Step 3: Enhanced the accuracy by doing cascading of classifiers.
optimization-of-kmeans-algorithm
K-Means is a clustering algorithm which is used for cluster analysis in data mining; it partitions the data set into k clusters. In this project, K-Means algorithm is optimized using PSO (Parm Swarm Optimization)in terms of time. PSO simulates the social behavior of birds and helps to improve candidate solution iteratively. This project is made in python and has been tested on some standard data sets.
Paragraph-matching-using-TF-IDF
The Project is developed in Java. There is a text document consisting of six paragraphs. In the document each paragraph is related to only one paragraph in the document. The paragraphs are jumbled. This project determines the correct partner of each paragraph using TF/IDF.
SocietyProject
jatin24's Repositories
jatin24/optimization-of-kmeans-algorithm
K-Means is a clustering algorithm which is used for cluster analysis in data mining; it partitions the data set into k clusters. In this project, K-Means algorithm is optimized using PSO (Parm Swarm Optimization)in terms of time. PSO simulates the social behavior of birds and helps to improve candidate solution iteratively. This project is made in python and has been tested on some standard data sets.
jatin24/SocietyProject
jatin24/ASSEMBLER1
jatin24/backup-of-all-days
jatin24/cache
jatin24/MagicMatrix
Full fletched magic matrix java code(singly even ,odd,doubly even)
jatin24/News-Categorization-using-classifiers-and-Ensemble-Learning-in2016-.
The project is developed in Python. Step 1: Developed a crawler in python using which I collected the news of different categories from www.bing.com. For example, Education, Awards, Rape, Acid attack, Terrorist reform, Science etc. Step 2: Determined the accuracy of different classifiers on news data set like, Random Forest, Decision Tree, SVM. Step 3: Enhanced the accuracy by doing cascading of classifiers.
jatin24/Paragraph-matching-using-TF-IDF
The Project is developed in Java. There is a text document consisting of six paragraphs. In the document each paragraph is related to only one paragraph in the document. The paragraphs are jumbled. This project determines the correct partner of each paragraph using TF/IDF.