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(Data Analysis Question) Explain supervised machine learning using some examples of data and at least two,...

(Data Analysis Question) Explain supervised machine learning using some examples of data and at least two, two-dimensional supervised machine learning methods. Describe in writing any figures that you normally would draw.

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Sion VIS om Supervised machine learning:- Supervised machine learning is one type of humun Suprovision. The main goal in SupeExamples In machine learning, classification is a Supervised learning approach in cohich the computer program leams from theoutlook Nowo, by using cars algorithe, we will solve this problem. Ginile)» 1-603-607)-(3? = 0.643 T P N Gini Index (31) Sann- T N Shot 4 2 P @ 1 3 1 Gini 0.5 0.5 0.315 Scool 4 Gin? (hot) = 1-(2)2-(3) = 0.5 Gani(tild) = 1 -(1)-(1) - 0.5 Go? (cool) =Gini churridity) = 5x0.48 +EXO32 -0.24 +0.16 = 0.40 wird ł Sstrong Sweak 3 7 P N a 5 2 Gini 0.445 0.409 Gini (strong) - 1-(1)c 1 Temp Snot I Shild Scool N 2 T a I 1 P 0 o . Gini 0 o o , 0 0 tu - Ginic Grnictemp) = 0 pod O . . Minimum Minimum , Humidioutlook) - Raindo Sunny brerast (yes (Temp bot / No Rainy N :) T SRainy 3 a Gini 0.445 Gini se 0 S T strong 1 Sweak a D , Ń 0(outlook) . Rainy Overcast - Sunny / Temp yes) weak ong Mild hot no yesand Examplet using linear Regression ao ave an Economist for the Co-operative. you gasher the follocoing data: Fertilizer(lb)bo = 9 - 8,1 = 6 – (0-65)() -0.80 Y = 0.8 +0.6534 10+ G=0.8 +0.65%, Yeld(123) 67 0 ut .. . Fertilizer (lb) a-dimensional Machbo = 9 - 8,1 = 6 – (0-65)() -0.80 Y = 0.8 +0.6534 10+ G=0.8 +0.65%, Yeld(123) 67 0 ut .. . Fertilizer (lb) a-dimensional Machpositive linear Relationship Negative linear Relationship Ely) Ely) Regression line Regression line Ilhi Intercept slope B, iliniquely plentifies the straight line passes through these 2 points ) Support Vector Machines!. this method is also 2-dimensExamples of keinel fonctions feln polynomial kernel with degreed K(x,y) = (xTy tijd Radial basis function Kernel with width o

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