Pinned Repositories
data-mining
DataMining-FeatureSelection
Data Mining-Feature Selection and Dimensionality reduction.
DpllSatSolver
DPLL SAT Solver using prolog
MRI-based-brain-tumor-classification
Brain tumor detection and classification based on MRI images using Convolutional neural networks.
NLP-FakeNewsDetection
Distinguish fake news from real news using Bag of Words, TF-IDF and Word2Vec with Naive Bayes and Logistic Regression classifiers. Also used the feature enrichment concept of Machine Learning to analyze how the output changes.
NLP-MinimumEditDistance
Calculates minimum edit distance between two words using Levenshtien and confusion cost matrix
NLP-SentimentAnalysis
This program uses the polarity and intensity of the words to assign one of five ratings to product reviews using Multinomial Logistic Regression. The data given was biased with more positive than negative reviews and hence required regularization.
NLP-WordSenseDisambiguation
Word sense disambiguation using WordNet and Word2Vec: This is python program that takes as input a file containing nouns or verbs having multiple (WordNet) senses, and determine which of two senses are used in accompanying sentences.
karunagujar13's Repositories
karunagujar13/MRI-based-brain-tumor-classification
Brain tumor detection and classification based on MRI images using Convolutional neural networks.
karunagujar13/NLP-MinimumEditDistance
Calculates minimum edit distance between two words using Levenshtien and confusion cost matrix
karunagujar13/data-mining
karunagujar13/DataMining-FeatureSelection
Data Mining-Feature Selection and Dimensionality reduction.
karunagujar13/DpllSatSolver
DPLL SAT Solver using prolog
karunagujar13/NLP-FakeNewsDetection
Distinguish fake news from real news using Bag of Words, TF-IDF and Word2Vec with Naive Bayes and Logistic Regression classifiers. Also used the feature enrichment concept of Machine Learning to analyze how the output changes.
karunagujar13/NLP-SentimentAnalysis
This program uses the polarity and intensity of the words to assign one of five ratings to product reviews using Multinomial Logistic Regression. The data given was biased with more positive than negative reviews and hence required regularization.
karunagujar13/NLP-WordSenseDisambiguation
Word sense disambiguation using WordNet and Word2Vec: This is python program that takes as input a file containing nouns or verbs having multiple (WordNet) senses, and determine which of two senses are used in accompanying sentences.