###### Qib. Report the mean, median, mini mum, maximum, and standard deviation for each numeric variable in the data set, titanic_all.csv
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- ce_S1_Mangesh / My courses/55 ITSE415_AppDataSci_S1 / Chapter 4- Data Preprocessing / Quiz 2 - 10 June 2021 Quiz navigation When we try to analyze the result-data of the last 10 semesters for the subject 'Programming-1' and if you are asked to find what will be the final score of any new student based on the value of his Quiz 2 marks, then what type of analysis is this? of Finish attempt- O a. Prescriptive Analysis Time left 0:17:27 tion O b. None of these Oc. Predictive Analysis O d. Descriptive Analysis Next page Jump to.. pter 4- Presentation- Find the employee in each department who makes the highest salary in their departmentsA dataset showing the decisions about presence of Heart Disease (HD) based on four attributes (Age, Blood pressure, Cholesterol and Heart rate) is listed in the following table:AgeBPCHHRHD OldLowLowMediumNo Very oldLowMediumLowYes OldMediumMediumMediumNo OldLowLowLowYes MildLowLowMediumYes Very oldHighMediumLowYes Very oldMediumMediumLowYes MildMediumVery highLowYes OldLowMediumMediumNo Very oldMediumVery highMediumNo Very oldMediumLowMediumNo MildLowMediumMediumNo MildLowMediumMediumNo Compute the entropy for this data set.What is the information gain for the Heart Rate (HR) feature?Given a choice among Age, Blood pressure, Cholesterol and Heart rate, which feature would the ID3 algorithm choose as the root node for a decision tree.What is the role of information gain and entropy in ID3 algorithm?
- Automatic scaling must be specified.Find those job categories whose maximum salary among the people hired after 1980 is more than 2500 Find the average salary of those employees whose name starts with J in each department Find the most recent employment among those hired before 1980 for each departmentComposite datatypes can only have multi row &multi column values in them Answers: Yes No
- The following table shows the student grades for Q1 and Q2 assessment activities. Calculate the mean and mode for Q1 and Q2 grades Calculate the range and standard deviation for Q1 grades and Q2 grades Student Number Q1 Grade Q2 Grade Total student Grade 1 85 79 164 2 96 85 181 3 84 76 160 4 75 76 151 5 64 94 158 6 83 83 166 7 92 92 184 8 74 71 145 9 67 81 148 10 81 93 174 11 93 72 165Table-valued functions, aggregate functions, and scalar functions may all be distinguished from one another.population_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/AnalyseProject/world_population.csv', index_col='Country Code') Question 1: Population Growth The world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the population growth rate in a given year might be. We will calculate the population growth rate as follows:- ?????ℎ_????=???????_????_??????????−????????_????_??????????????????_????_?????????? As such, we can only calculate the growth rate for the year 1961 onwards. Write a function that takes the population_df and a country_code as input and computes the population growth rate for a given country starting from the year 1961. This function must return a return a 2-d numpy array that contains the year and corresponding growth rate for the country. Function Specifications: Should take a population_df and country_code string as input and return a numpy array…
- population_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/AnalyseProject/world_population.csv', index_col='Country Code') Question 1: Population Growth The world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the population growth rate in a given year might be. We will calculate the population growth rate as follows:- The formula to use in calculating the growth rate is as below:- Growth_rate =( Current_year_ population - Previous_year_population) / Previous_year_population As such, we can only calculate the growth rate for the year 1961 onwards. Write a function that takes the population_df and a country_code as input and computes the population growth rate for a given country starting from the year 1961. This function must return a return a 2-d numpy array that contains the year and corresponding growth rate for the country. Function Specifications: Should take…see imageTrue/False 2. Standard deviation measures how spread out a data set is.