Nearest Neighbor, Decision Trees and Naïve Bayes classifiers implemented in python and evaluated based on 2 datasets
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Updated
Nov 27, 2018 - Python
Nearest Neighbor, Decision Trees and Naïve Bayes classifiers implemented in python and evaluated based on 2 datasets
Simple GradientBoost
Benchmark of RGF vs. various other algorithms
Contains self-implemented Machine Learning algorithms using only numpy.
Machine learning code for lulz
A comprehensive set of programs demonstrating machine learning techniques have been made.
OpenCV Machine Learning samples
QuadBoost, a machine learning boosting algorithm based on the quadratic loss
Repository of machine learning model implementations
Analyzing the binary gender difference in lead roles using statistical machine learning
Introduction to Data Mining.
This repository contains all the codes used in the paper "Experiments in combining boosting and deep stacked networks"
Boosting + Multiplicative Weights Update for MNIST dataset
A bot for boosting your studydrive account using the studydrive API
Simple Example of AdaBoost Implementation using Python
Python implementations of the AdaBoost and Gradient-Boosting classification / regression algorithms.
MachineLearning
PKB: use clinical features and gene expression to predict outcomes of interest. Support classification, regression, and survival analysis
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