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subset-selection

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Sarthak-Mohapatra / Prediction-of-fare-and-changes-in-airfare-with-Southwest-Airline-entry-in-a-new-route.

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In this project, I have used Machine Learning (Linear Regression) for Prediction of fare and changes in airfare when a low cost airlines like Southwest Airline enters a new route in the US Aviation Market.

visualization machine-learning r rstudio excel linear-regression exploratory-data-analysis visualisation linear-models subset-selection
  • Updated Jan 2, 2020

kaushikmanikonda / Industrial-Data-Analytics-and-Machine-Learning_ISEN_613

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Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

data-science linear-regression statistical-learning supervised-learning logistic-regression machinelearning confusion-matrix bootstrapping unsupervised-learning support-vector-machines r-programming hierarchical-clustering boosting bagging random-forests k-means-clustering k-nearest-neighbors tree-pruning subset-selection multiple-linear-regression
  • Updated Mar 25, 2021
  • R

SebastianAment / CompressedSensing.jl

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Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

sparsity compressed-sensing julia feature-selection sparse-linear-systems sparse-regression matching-pursuit sparse-bayesian-learning stepwise-regression subset-selection basis-pursuit
  • Updated Mar 28, 2022
  • Julia

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