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
Train microclassifiers in the cloud for spam detection, sentiment analysis and more.
Projects of Artificial Intelligence course in University of Tehran; Fall 2022
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
Flask ML-App; Live @ bartsimo.pythonanywhere.com/
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.
RU Data Analytics Bootcamp - Project 3, Group Name: "G.S. Analytics"
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
This resume analysis website would help you select your desired candidate through a sea of applicants.Along with it, it will also help you detect the personality of the candidate through OCEAN model.
This project includes implementation of supervised machine learning algorithms in R language.
Text Classification of Job Applicant Interviews using SVM Methods
Data science project in R to create a predictive model of the CHD risk, based on supervised learning.
This projects contains a work of data mining with various machine learning and deep learning techniques
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