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A implementation of Naïve Bayes Machine Learning Algorithm from scratch. Includes implementations for Gaussian Naïve Bayes, Categorical Naïve Bayes, Binary Confusion Matrix, Binary Precision, Recall, F Measure scores
Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.
Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.
This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India.