python implementation of mmachine learning of different classifiers and their comparison
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Updated
Nov 20, 2018 - HTML
python implementation of mmachine learning of different classifiers and their comparison
Crop prediction using automated soil analysis
Projects of Artificial Intelligence course in University of Tehran; Fall 2022
Flask ML-App; Live @ bartsimo.pythonanywhere.com/
RU Data Analytics Bootcamp - Project 3, Group Name: "G.S. Analytics"
Train microclassifiers in the cloud for spam detection, sentiment analysis and more.
Machine Learning Project to build an algorithm which identifies Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
Simple Naive Bayes Spam Classifier
Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.
This project includes implementation of supervised machine learning algorithms in R language.
Text Classification of Job Applicant Interviews using SVM Methods
Building a model for identifying potential Enron fraudsters based on financial and e-mail data with the use of Python. From data exploration to building and validating an algorithm.
COVID-19 Risk prediction using Naive Bayes and Decision Tree Algorithm
Detecção de Fraudes no Tráfego de Cliques em Propagandas de Aplicações Mobile
Tweet sentiment with MultinomialNB
Sistema de avaliação de roteiros com base em dados de redes sociais, desenvolvido por alunos do curso de Sistema de Informação da UFRPE.
Far-field Speech-controlled Smart Classroom with NLP built under KNX Standard for Appliance Control
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