Variable Importance Plots (VIPs)
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Updated
Oct 30, 2023 - R
Variable Importance Plots (VIPs)
I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (RF), Logistics Regression (LR) and Naïve Bayes (NB)
ECN 5090- Machine Learning in Economics and Finance (Python)
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
Unsupervised Learning (PCA) on Vehicle dataset
Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.
Web Analytics: Twitter Project with Machine Learning and Deep Learning methodologies
Identify potential customers who are relatively more likely to subscribe to the term deposit
Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy o…
This repository consists of Machine Learning Techniques (Both Supervised and Unsupervised Learning) which you go through for more better and broader understanding of different methods used in solving machine learning problems.
Basic templates of codes for quick ML
A group project conducted in Jan 2022 by the Speed racers group. The project is the use of supervised learning to predict whether a client will file an insurance claim based of a set of features techniques for predicting
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Hear All Solution In R Language
This repository contains machine learning programs in the Python programming language.
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Minimax Classification with 0-1 Loss and Performance Guarantees
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