An end-to-end machine learning and data mining framework on Hadoop
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Updated
May 13, 2024 - Java
An end-to-end machine learning and data mining framework on Hadoop
A fast and easy to use decision tree learner in java
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
A fast implementation of the Random Forest algorithm for the Weka environment
ID3 Decision Tree Classifier for Machine Learning along with Reduced Error Pruning and Random Forest to avoid overfitting
Display movies in card and recycler view from tmdb website. Features-- 1) shows movie trailers 2) shows all details of movie and their images using glide library 3) Display Top comments and rate movie using reviews from youtube by sentimental analysis in python 4)You can also create your own movie by adding your own actore,buget and run time and…
Java implementation of a Robust Random Cut Forest for streaming, unsupervised, adaptive anomaly detection
A MapReduce Version of Random Forest.
This plugin segments and classify diffusion trajectories
SUTD 50.003 ESC Indoor Tracking Project with UnaBiz
A parser for scikit-learn exported text models to execute in the Java runtime.
We present a framework called TLF that builds a classifier for the target domain having only few labeled training records by transferring knowledge from the source domain having many labeled records. While existing methods often focus on one issue and leave the other one for the further work, TLF is capable of handling both issues simultaneously…
Lab solutions for Artificial Intelligence ("Umjetna inteligencija") course at FER 2019/20 led by izv. prof. dr. sc. Jan Šnajder and doc. dr. sc. Marko Čupić
Distributed Random Forest in Apache Flink
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
Implementation of several classification algorithms in Java. In addition to algorithms, it was necessary to implement tools for reading data, validation and evaluation metrices.
Utilizando o Spark para o desenvolvimento de algoritmos de Machine Learning (Regressão Linear e Regressão Logistica) com Java através do HDFS, para o trabalho final do 1º semestre de Infraestrutura de Big Data.
Algumas estruturas de repetição em Java
A context awareness framework for Android platform
This addresses the recognition of natural human actions in a video or in real time.
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