Q1. Categorical Nave Bayes (I need help with Laplace smoothing please to tackle the zero probability.)

Let us assume that we have the following training dataset: In this dataset, each data point is about a car. Features are the color and the origin of the car. The target value is Finance which indicates if finance is available for that car. Using a Nave Bayes classifier with Laplace Smoothing, classify the following entry: Color is White Write down your solution and answer in the text area. Origin is Foreign Step 1. convert data set into a Freavency table. Step 2: Create a likelihood table. Step 3: P(cx)=P(x)P(xc)P(c)-Coloriswhice-Oiginisforcign-Financemaidable P(yeswhite,foreign)=P(white,foneign)P(white,foreignyes)P(yes) 005=0 probability P(cx)=? add Laplace smoothing P(xc)=P( white, foreign Yes )=0/5=0 of zero probabilit P(C)=P( Yes )=5 P(x)=P( white , foneign )=0 Let us assume that we have the following training dataset: In this dataset, each data point is about a car. Features are the color and the origin of the car. The target value is Finance which indicates if finance is available for that car. Using a Nave Bayes classifier with Laplace Smoothing, classify the following entry: Color is White Write down your solution and answer in the text area. Origin is Foreign Step 1. convert data set into a Freavency table. Step 2: Create a likelihood table. Step 3: P(cx)=P(x)P(xc)P(c)-Coloriswhice-Oiginisforcign-Financemaidable P(yeswhite,foreign)=P(white,foneign)P(white,foreignyes)P(yes) 005=0 probability P(cx)=? add Laplace smoothing P(xc)=P( white, foreign Yes )=0/5=0 of zero probabilit P(C)=P( Yes )=5 P(x)=P( white , foneign )=0