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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.