Implementation of weka k-NN and SVM classifiers in Java
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Updated
Nov 30, 2017 - Java
Implementation of weka k-NN and SVM classifiers in Java
This checks out data provided by the Kepler space telescope to study exoplanets.
Intro to k-NN with tensorflow
Predicts gender of the voice signal
Predicting Mountain Goats Album Era with Sentiment Analysis
I use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
In this project, different supervised machine learning algorithms like Decision Tree, Naive Bayes, K-nearest neighbour,Random Forsest, Logistic Regression etc. were trained on the training data set and then Ensemble Learning was used to improve the accuracy were
Fast Clustering By Density Peaks (Rodriguez & Laio 2014). .NET Standard library
Análise de dados com pandas e previsão de dados usando o algoritmo de classificação k-NN (k-nearest neighbors).
Project built for the graduation thesis of Bruno Gois and Matheus Nascimento at the University Graduate Program of Computer Engineering - UniCEUB
This was my finial paper for my Harvard Data Science Certification. This paper used machine learning to predict if a patient had heart disease or not.
From-scratch machine learning models with implementation tutorials.
k Nearest Neigbors in Java Applet - Remastered Edition
Handwritten Digit Recognition using neural nets and ML classifiers
Predicting type of iris plant using k nearest neighbor method
Detección de Fraude en tarjetas de crédito usando técnicas de data mining
Verify banknote specimens using various classification algorithms on Wavelet-Transformed images
K-Nearest-Neighbors - Data Science
machine learning classifier that can predict whether a breast cancer tumor is benign or malignant using the K-Nearest Neighbors (KNN) algorithm.
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