Using classification algorithms to predict the geographical origin of an individual.
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Updated
May 22, 2022
Using classification algorithms to predict the geographical origin of an individual.
Some basic classification methods (Naive Bayes, Decision Trees, Nearest Neighbour, Perceptrons) implemented from scratch in Java
This project includes implementation of supervised machine learning algorithms in R language.
Machine Learning REST API
Implementation of a Naive Bayes classifier
Airline sentiment using Naive-Bayes Classification of airline tweets
A simple implementation of the Naive Bayes Algorithm to understand its inner workings.
Different Machine Learning Concepts and Models
Sentiment analysis using Machine Learning and deployment of model
Sentiment Analysis
A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes
Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignment-5
Projects done for Machine Learning (including Academic Projects)
My implementation for Naive Bayes - As a part of Intro to Machine Learning at HUST
An interactive presentation tool covering n-grams and naivebayes
Build a program that, given a text message, says if it is a spam or not.
This is a naivebayes algo model performed on HAM vs SPAM dataset. The model still requires some alterations in code but it's a working model.
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