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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)
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)
Topics
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
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