Text classification implementing the standard and voted version of Perceptron. Experiments conducted on the 20 Newsgroups dataset.
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Updated
May 27, 2021 - Python
Text classification implementing the standard and voted version of Perceptron. Experiments conducted on the 20 Newsgroups dataset.
PToPI - Periodic Table of Performance Instruments
The aim of this project is: 1.Perform Text Classification using Multinomial Naive Bayes 2. Implement Naive Bayes from scratch for Text Classification. 3. Compare Results of self implemented code of Naive Bayes with one in Sklearn. dataset used is 20_newsgroups
A classification model implemented using Deep Neural Networks
Knowledge Discovery in Dataset
Atividades e trabalhos feitos para a disciplina de Aprendizado de Máquina, semestre 2020.1, Universidade Federal do Ceará - Campus Quixadá.
Computer Vision multilabel classification with different techniques: (KNN,PCA,LDA,BOVW,SIFT,VGG16)
In this repository, Neural Networks and Deep Learning was leveraged for recognition of Handwritten Hiragana Characters
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Applying Transfer Learning on Stanford Dogs Dataset
Demonstrating Ensemble Learning using Bagging and Random Forest algorithm
Given the details of cell nuclei taken from breast mass, objective is to predict whether or not a patient has breast cancer using the Ensembling Techniques. This is a classification problem. The dataset consists of several predictor variables and one target variable, Diagnosis. The target variable has values 'Benign' and 'Malignant', where 'Beni…
Customer Churn Analysis
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Deep Reinforcement Learning (DRL) overview.
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This repository contains introductory notebook for logistic regression
Predicting coronary heart disease(CHO) in 10 yrs.
Classifying the tissues.
More than 101 zoo animals to apply classification ML models.
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