javascript实现朴素贝叶斯分类器(Naive-Bayesian-classification)
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Updated
Feb 19, 2017 - HTML
javascript实现朴素贝叶斯分类器(Naive-Bayesian-classification)
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.
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.
This project includes implementation of supervised machine learning algorithms in R language.
中文文本挖掘|舆情分析|Hadoop|Java|MapReduce
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…
Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.
python implementation of mmachine learning of different classifiers and their comparison
Simple Naive Bayes Spam Classifier
Sistema de avaliação de roteiros com base em dados de redes sociais, desenvolvido por alunos do curso de Sistema de Informação da UFRPE.
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
Far-field Speech-controlled Smart Classroom with NLP built under KNX Standard for Appliance Control
IDS 575 - Machine Learning for Business Analytics
Text Classification of Job Applicant Interviews using SVM Methods
A quick reference guide for creating prediction models using R caret.
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.
Detecção de Fraudes no Tráfego de Cliques em Propagandas de Aplicações Mobile
Kaggle Competition - Natural Language Processing with Disaster Tweets
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