Arrange the steps executed in the k-nearest neighbor classification algorithm.
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Arrange the steps executed in the k-nearest neighbor classification
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- Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. You are given a parallel table of size n×m. This table comprises of images 0 and 1. You can make such activity: select 3 distinct cells that have a place with one 2×2 square and change the images in these cells (change 0 to 1 and 1 to 0). Your assignment is to make all images in the table equivalent to 0. You are permitted to make all things considered 3nm activities. You don't have to limit the number of activities. It tends to be demonstrated that it is consistently conceivable. Input The principal line contains a solitary integer t (1≤t≤5000) — the number of experiments. The following lines contain portrayals of experiments. The principal line of the depiction of each experiment contains two integers n, m (2≤n,m≤100). Every one of the following n lines contains a parallel line of length m, depicting the images of the following column of the table. It is…Apply the apriori algorithm to the following data set. Trans_id Items_purchased milk, bread, eggs 101 102 103 104 105 106 107 108 109 110 milk, juice juice, butter milk, bread, eggs coffee, eggs coffee coffee, juice milk, bread, cookies, eggs cookies, butter milk, bread The set of items is {milk, bread, cookies, eggs, butter, coffee, juice). Use 0.2 for the minimum support value.Explain the nearest neighbor algorithm. Give examples to use this algorithm. Apply some data set and discuss the result. Also, use graphics or images to represent the classes.
- Correct answer will be upvoted else downvoted. Computer science. example of a chainword is the accompanying triple: a line of m lowercase Latin letters; the main clue: an arrangement of fragments with the end goal that the letters that compare to each portion spell a word from the word reference; the subsequent clue: one more succession of portions with the end goal that the letters that relate to each section spell a word from the word reference. Note that the successions of portions don't really need to be unmistakable. Two occasions of chainwords are considered unique on the off chance that they have various strings, diverse first clues or distinctive second clues. Count the number of various examples of chainwords. Since the number may be really huge, output it modulo 998244353. Input The primary line contains two integers n and m (1≤n≤8, 1≤m≤109) — the number of words in the word reference and the number of letter cells. Every one of the following n…Theoretical Overview Suppose we have a set of data consisting of ordered pairs and we suspect the x and y coordinates are related. It is natural to try to find the best line that fits the data points. If we can find this line, then we can use it to make all sorts of other predictions. In this project, we're going to use several functions to find this line using a technique called least squares regression. The result will be what we call the least squares regression line (or LSRL for short). In order to do this, you'll need to program a statistical computation called the correlation coefficient, denoted by r in statistical symbols: NOTE: Equation is written assuming you start at the value 1. Lists start at index 0. Once you have the correlation coefficient, you use it along with the sample means and sample standard deviations of the x and y-coordinates to compute the slope and y-intercept of your regression line via these formulas: Tasks: In this project, you must read…Mini-Case Google’s PageRank: Google’s PageRank is an algorithm that attempts to inform you where people are coming from when they land on your website and which sources are the most frequent. Note that, as its name suggests, a page rank is an index estimated page by page; it’s not an overall website assessment. Think of the Internet as a big network (duh), where the links aren’t all equal. Just as with people, some of your connections are “more important” (in achieving whatever goals) than others. With clickstreams, if you’re getting a lot of web traffic, is it coming from somewhere impressive like Amazon or from Joe’s-Shoes-and-Tshirts.com? The algorithm weights the more important (more connected) links more than the less important (less connected) links. Say you’re trying to determine the rank of your home page. You figure that’s a good start, and customers can navigate more precisely once they’re in your domain. The ranking model begins by checking all the incoming links to the…
- Step 1. Intersection over Union # def intersection_over_union(dt_bbox, gt_bbox): ---> return iou Step 2. Evaluate Sample We now have to evaluate the predictions of the model. To do this, we will write a function that will do the following: Take model predictions and ground truth bounding boxes and labels as inputs. For each bounding box from the prediction, find the closest bounding box among the answers. For each found pair of bounding boxes, check whether the IoU is greater than a certain threshold iou_threshold. If the IoU exceeds the threshold, then we consider this answer as True Positive. Remove a matched bounding box from the evaluation. For each predicted bounding box, return the detection score and whether we were able to match it or not. def evaluate_sample(target_pred, target_true, iou_threshold=0.5): # ground truth gt_bboxes = target_true['boxes'].numpy() gt_labels = target_true['labels'].numpy() # predictions dt_bboxes =…For your initial post, identify a single algorithm that you use in your day to day life which involves repetition. As an example, washing each dish in a stack of dishes or a walk/don't walk sign switching from one mode to another after a set amount of time. Detail the steps of your algorithm in your post. As you detail the steps, make sure you break down each step fully. At a high level, explain how you would go about implementing the loop. Would you implement a while loop? A for loop? Would you make use of a "break statement?" Would your solution involve a nested loop?Generate 10 tosses of pair of dice. (This will generate integers from 1-12). Using matplotlib and Numpy generate a histogram indicating the number of occurrences of each integer and plot it. Repeat for 100, 1000 and 10000 tosses and report your observation
- Correct answer will be upvoted else Multiple Downvoted. Computer science. You need to change this grouping so all components in it are equivalent (I. e. it contains a few events of a similar component). To accomplish this, you pick some integer x that happens to some extent once in a, and afterward play out the accompanying activity quite a few times (perhaps zero): pick some portion [l,r] of the arrangement and eliminate it. Yet, there is one special case: you are not permitted to pick a fragment that contains x. All the more officially, you pick some adjoining aftereffect [al,al+1,… ,ar] to such an extent that ai≠x if l≤i≤r, and eliminate it. After expulsion, the numbering of components to one side of the eliminated portion changes: the component that was the (r+1)- th is presently l-th, the component that was (r+2)- th is currently (l+1)- th, etc (I. e. the leftover arrangement simply falls). Note that you can not change x after you picked it. For instance, assume n=6,…Q5. If we have 350000 training samples and Batch size is set to 50,000 then how many iterations it will take to complete 1 Epoch? --Type your answer here-Q6. Select a problem that has national significance and can be solved using a machine learning approach. Please make sure that you do not select a problem that is common, or it was used previously during the course as assignment or class exercise. Please make sure that your answer does not contain any plagiarized content. (a) Describe the problem in 150-250 words (b) Describe why this problem is an important problem (c) Describe why you think this problem can be solved using a machine learning approach. (d) Which machine learning approach is better for this problem and why? (e) List the sequence of steps that you would use in order to solve this problem using machine learning.Exercise 1 To practice this skill, the code below samples 100 times from the population of values 0,1 and adds up the results to create a new random variable S = sum of all sample valued. Reduce the code below to three lines by removing the use of the intermediate variable x: Code Start Over 1 values-c(0,1) 2 x-sample(values, 100, replace-TRUE) 3 phat-sum(x--"0")/100 Exercise 2 After you understand the above reduction, the next step is to wrap this random variable calculation inside the replicate function and repeat the result of this calculation some large number of times N. The basic format of this function is as follows: replicate (N, random variable calculation) The code below performs N = 5 replicates of the random variable which calculates p in n = 10 tosses of a fair coin and prints the result. Alter the code so that it performs N= 10 replicates of the random variable p, but with only n = 5 tosses of a fair coin. Code Run Code Start Over 1 values-c("H","T") 2 phat-replicate(5,…