Define the term " random srand " .
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Define the term " random srand " .
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- Course: Data Mining Language: R Suppose that a hospital tested the age and body fat data for 18 randomly selected adults and the results are provided to you as follows, Ages: 13 15 16 16 19 20 20 21 22 22 25 25 25 25 30 33 33 35 35 35 35 36 40 45 46 52 70 BodyFat: 9.5 26.5 7.8 17.8 31.4 25.9 27.4 27.2 31.2 34.6 42.5 28.8 33.4 30.2 34.1 32.9 41.2 35.7 Answer the following: Normalize the two attributes based on z-score normalization. Calculate the correlation coefficient (Pearson’s). Are these two attributes positively or negatively correlated? Computer their covariance. *you can use R for calculation. Report all the results in the HW file.Exerxising LogOverview: You will be creating a report comparing various sorting algorithms. You will be comparing these algorithms based on their actual execution time, as well as on the theoretical runtime as calculated by estimating the number of comparisons that will occur. When comparing the specific algorithms described in sections B-E of the guide, you will want to make sure to select implementations that minimize additional factors. For example, you may want to ensure that all of the algorithms are running “in-place” meaning that you are not allocating different amounts of memory for the data itself throughout the sorting process. Each algorithm will, of course, have different overhead, but we want to minimize the differences when possible. Some datasets have been uploaded in D2L (The Hub) that you can use if you want, or you can feel free to generate your own. Algorithms to Compare: 1. Selection Sort 2. Bubble Sort 3. Merge Sort 4. Quicksort 5. STL algorithm Useful Code for Execution…
- Differentiate between Selection Sort and Bubble Sort algorithms. Explain your answer by providing Best, Average, and Worst Case scenarios.Please help me interpret this.From a list of participants’ ids, find which id is missing from the list. The participant ids sorted in ascending order with a certain difference. Output explanation: the difference for each id is 12, from the list the missing number Is 120073 which is after 120061 and before 120085. Design an algorithm using C language! (PS: use divide and conquer algorithm)
- NORMALIZATION PROBLEM: Normalization is one of the most basic preprocessing techniques in data analytics. This involves centering and scaling process. Centering means subtracting the data from the mean and scaling means dividing with its standard deviation. Mathematically, normalization can be expressed as: Z = X-x σ In Python, element-wise mean and element-wise standard deviation can be obtained by using .mean() and .std() calls. In this problem, create a random 5 x 5 ndarray and store it to variable X. Normalize X.What is the difference between Longest Increasing Subsequence (LIS) and Longest Decreasing Subsequence (LDS)?A data set has 4 columns--index, CUSTOMER_EMAIL, Net Revenue, and Year. For each year we need the following information: New Customer Revenue e.g., new customers not present in previous year only Lost Customers New Customers Total Customers Previous Year Total Customers Current Year Please implement it using python.