Category: Data Mining
K={1, 1.1, 5, 5.1, 1.5, 5.2, 7.9, 1.2, 8.1, 9} Total item=10 iter1: m1=5 m2=9 K1={1, 1.1,…
K-means clustering Algorithm for manually finding from observation: Step 1: Take mean value Step 2: Find nearest…
Ensemble Models: Basics Boosting Ranmdom Forests Support Vector Machines Basics Linear Classification Nonlinear Classification Properties of SVMs…
Design of network topology Determine: Number of input nodes Too few nodes => misclassification Too many nodes=>…
iT IS HAPPEN WHEN MORE THAN ONE POSSIBLE PREDICTOR VARIABLE. including more than one independent variable in…
1d theke clear na , eta clear korte hobe , In Sha Allah. Lagle onno kono…
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