A project of my course "Introduction to Pattern Recognition". Realize a Naive Bayes Classifier with Laplacian Correction using PYTHON.

Naive Bayes (From Scratch)

basic algorithm for NLP

Sentiment Analysis is done using the Naive Bayes Classifier. Here, every sentence contains either a positive sentiment represented by 1 or a negative sentiment represented by 0. Now, for a test sentence probability of it occuring in both the classes is calculated using Bayes Theorem. The class which gives maximum probability will be the predicte…

Multinomial naive Bayes newsgroup document classification without relying on pre-built sklearn modules. Smoothing and inverse document frequencies utilized to improve model accuracy.

Notebooks explaining various Machine Learning concepts.

This project involves analyzing a database of students enrolled in an online course. By examining variables such as video view time and pause frequency, we aim to gain valuable insights into student engagement and optimize the learning experience. Key concepts include k means clustering, linearized regression and naive bayes regression.

Ranks passages against queries using various models and techniques.

This is my Natural Language Processing related programs repository

Hidden Markov Models or HMMs for Part of Speech Tagging.

This Project is an implementation of a Naive Bayes Classifier with use of Laplace Smoothing technique.

Machine Learning Spam Filter from scratch

An OCR that is able to detect numbers in ascii images with 80.7% accuracy, utilizing Naive Bayes and Laplace smoothing

Natural Language Processing 2nd Mini Project

NGram with basic smoothing

An implementation of a Naive Bayes Classifier for predicting Hafez and Saadi poems

This is an entire implementation with Good-Turing estimate, MLE, and Laplacian backoff Language Model

Ngrams with Basic Smoothings

Information retrieval system that gives ranked results when a query is given