Exercise 1 : Exploratory Analysis Perform the exploratory analysis…

Question Answered step-by-step Exercise 1 : Exploratory Analysis Perform the exploratory analysis… Exercise 1: Exploratory AnalysisPerform the exploratory analysis using SciPy and Pandas for the hepatitis dataset.a) Print all columnsb) Get the first 10 rowsc) Compute the following descriptive statistics for column age:i. meanii. varianceiii. standard deviationiv. kurtosisv. skewnessd) plot the histogram for column age.Exercise 2: Feature SelectionAssume that you would like to build a system that will predict if a student will besuccessful for a specific College program (for example Software programs).What features would you include in your model? Indicate strongly relevant andweakly relevant features.Exercise 3: Data PreparationUsing one of UCI datasets(https://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease), perform thefollowing preprocessing operations:a) handle the missing valuesb) converting categorical features to a numeric representation using one-hotencodingc) Scale numerical features between 0-1Exercise 4: Cost Functionwrite and test a python function for computing the cost function for the simplelinear regression model MSE = 1MSE = 1n ∑i=1n( yi−(w1 xi+ b))2:Exercise 5: Evaluation metricsWrite and test python functions for computing the following evaluation measures:- precision score- Recall- F-measure       Computer Science Engineering & Technology Python Programming COMP 377 Share QuestionEmailCopy link Comments (0)