python programming 15:10 < All iCloud Data Exploratory Analysis Questions [20 marks] :5G 984 1. Use the

python programming

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15:10 < All iCloud Data Exploratory Analysis Questions [20 marks] :5G 984 1. Use the appropriate python code to upload the Health_Data file. > O How many Males between the ages of 39 and 63 are overweight and are Males? How many females are Obese? What is the max and min value for BMI in the Health_data and what do they mean in this case? What is the most common BMICat and what is the corresponding AgeGroup? What is the covariance Matrix for the BMI in the Health_Data Data Mining Questions [30 marks] Extract Id, Cholesterol, weight and cardio from the dataset, what is the correlation between Cholesterol and weight? Using decision Tree, build a predictive model to ascertain if a person with a cholesterol level of 3 is mostly overweight. Visualise the structure of the decision tree using the appropriate python library Using a histogram, plot the mean height, weight and ap_hi of the first 50 patients. 15:10 < All iCloud Data Exploratory Analysis Questions [20 marks] :5G 984 1. Use the appropriate python code to upload the Health_Data file. > O How many Males between the ages of 39 and 63 are overweight and are Males? How many females are Obese? What is the max and min value for BMI in the Health_data and what do they mean in this case? What is the most common BMICat and what is the corresponding AgeGroup? What is the covariance Matrix for the BMI in the Health_Data Data Mining Questions [30 marks] Extract Id, Cholesterol, weight and cardio from the dataset, what is the correlation between Cholesterol and weight? Using decision Tree, build a predictive model to ascertain if a person with a cholesterol level of 3 is mostly overweight. Visualise the structure of the decision tree using the appropriate python library Using a histogram, plot the mean height, weight and ap_hi of the first 50 patients.