What would be printed out by System.out.println(m.toString())
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What would be printed out by System.out.println(m.toString())
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- you can download the Dataset from this link - https://drive.google.com/file/d/1wlepxNIAc_6EQgv9M6WmYtSRJ7eQoty/view?usp=share_link Draw a bar chart to view of the distribution of spam and non-spam email samples in the dataset. How many emails are in the dataset? How many of the emails are spam? (Please answer this question based on implemeted code. You can use any programming language)Please help with the 1 Python question Data File: https://docs.google.com/spreadsheets/d/1-S_xnAQXa1QCoWQt7xyvxo42XRNC1QBd/edit?usp=sharing&ouid=112107649557425878726&rtpof=true&sd=true %%capture############################################################## EXECUTE THIS CELL BEFORE YOU TO TEST YOUR SOLUTIONS ##############################################################import imp, os, syssol = imp.load_compiled("solutions", "./solutions.py")sol.get_solutions("imdb.xlsx")from nose.tools import assert_equalfrom pandas.util.testing import assert_frame_equal, assert_series_equal # Loading the dataimport pandas as pdimport numpy as np xls = pd.ExcelFile('imdb.xlsx')df = xls.parse('imdb')df_directors = xls.parse('directors')df_countries = xls.parse('countries') df = pd.merge(left=df, right=df_countries, how='inner', left_on='country_id', right_on='id') df = pd.merge(left=df, right=df_directors, how='inner', left_on='director_id',…question 2: import requests from bs4 import BeautifulSoup import pandas as pd url = "https://en.wikipedia.org/wiki/Greenhouse_gas" res = requests.get(url) soup = BeautifulSoup(res.content, "html.parser") # Find the table of interest table = soup.find("table", {"class": "wikitable sortable"}) # Extract the header and data rows header = [th.text.strip() for th in table.find("tr").find_all("th")] data = [[td.text.strip() for td in tr.find_all("td")] for tr in table.find_all("tr")[1:]] # Create the DataFrame df = pd.DataFrame(data, columns=header) import requestsfrom bs4 import BeautifulSoupimport pandas as pd url = "https://en.wikipedia.org/wiki/Greenhouse_gas"res = requests.get(url)soup = BeautifulSoup(res.content, "html.parser") # Find the table of interesttable = soup.find("table", {"class": "wikitable sortable"}) # Extract the header and data rowsheader = [th.text.strip() for th in table.find("tr").find_all("th")]data = [[td.text.strip() for td in tr.find_all("td")] for tr in…
- Create a php file based on this table. If the search keyword is "*", the program should display all employees in the table. <?phpinclude "dbconfig.php"; $ip = $_SERVER['REMOTE_ADDR'];echo "<br>Your IP: $ip\n";$IPv4 = explode(".", $ip); if (($IPv4[0] == '10') || ($IPv4[0] == '131' && $IPv4[1] == '125')) { echo "<br>You are from Kean University.";} else { echo "<br>You are NOT from Kean University.";} $keyword = isset($_POST["keyword"]) ? $_POST["keyword"] : ''; $conn = mysqli_connect($servername, $username, $password, $dbname);if (!$conn) { die("Connection failed: " . mysqli_connect_error());} if ($keyword === '*') { $query = "SELECT * FROM EMPLOYEE"; $result = mysqli_query($conn, $query); if ($result) { $employeeCount = mysqli_num_rows($result); echo "<p>There are $employeeCount employee(s) in the database.</p>"; if ($employeeCount > 0) { displayEmployeeTable($result); } else {…The tasks are relevant to the dataset "College.csv" college.csv file at the path: https://drive.google.com/file/d/1StNKOnI0IDQKgZ35b-VZf1_5a_Dono-N/view?usp=sharing request code python : K nearest neighbor: a. Create a binary attribute Apps01 that contains a 1 if Apps contains a value equal to or above its median, and a 0 if Apps contains a value below its median. Create a single data set d containing both Apps01 and the other College features. Split the data into d.train training set and d.test test set 80:20.b. Perform k-NN with several values of k in order to predict Apps01 using all the features.c. Display the comparison of validation error rate for different values of k.NOTE: Use the API endpoints available at https://jsonplaceholder.typicode.com/ to get the data required in these exercises. HINT: Read the documented Resources and Routes. Also the guide: https://jsonplaceholder.typicode.com/guide/ /////////////////////// 2) Create a function named "getAllUsers". Use Fetch with Async/Await to request all the posts. The function should return all the posts as JSON data.
- import pandas as pd import numpy as np URL = "https://bit.ly/38zhU5T" df=pd.read_csv(URL) note: I think the data should be cleaned before performing the tasks(please include the solution of cleaning the data as well)Please Implement your changes into the code I have provided in the link below [This is the link to what I have so far] https://onlinegdb.com/4P-DKN2qhGet anime characters and display them as cards When the page loads, get the anime characters from https://bit.ly/3HPlkBl and display them as cards as shown in the image below. You only need to display the [Title, Rating , Image[Large] of the each anime character with a delete button. Caching Anime Data in IndexedDB Improve your application performance by caching the anime data in IndexedDB. Meaning, when you get the anime data save it to IndexedDB. Subsequent visits should read the data from IndexedDB. Only fetch data from the remote API if the anime data is not available in the IndexedDB. Display Anime Details When the user clicks a specific anime card from the list, you should pass the id to a function named displayAnimeDetails and get the anime’s full details from indexedDB. Then display the [Title, Rating, Image and Synopsis] of the anime character. You can simply replace the list by the card shown below. Also add a back link that replaces back the single card by the original…
- Web Technologies Write code to fetch data from the following URL using XMLHttpRequest method: https://raw.githubusercontent.com/LearnWebCode/json-example/master/animals-1.jsonwhy i cant show my heroku logs ? Press any key to open up the browser to login or q to exit:Opening browser to https://cli-auth.heroku.com/auth/cli/browser/7701fdbb-1629-4f12-ae95-bc6e0dde4dda?requestor=SFMyNTY.g2gDbQAAAA4yMTYuMjA5LjMwLjI0OG4GABiC2q18AWIAAVGA.XV1ipNiwwb-E32XuAV7JSPlCHX3wJiPogQvDXSSjDpgLogging in... doneLogged in as xxxxxxxxxxxxxxxxxxx C:\WINDOWS\system32>herokuCLI to interact with Heroku VERSIONheroku/7.59.0 win32-x64 node-v12.21.0 USAGE$ heroku [COMMAND] COMMANDSaccess manage user access to appsaddons tools and services for developing, extending, and operating your appapps manage apps on Herokuauth check 2fa statusauthorizations OAuth authorizationsautocomplete display autocomplete installation instructionsbuildpacks scripts used to compile appscerts a topic for the ssl pluginci run an application test suite on Herokuclients OAuth clients on the platformconfig environment variables of appscontainer Use containers to build and deploy Heroku appsdomains custom…the nodejs server code is like this const http = require("http");const url = require('url'); var hostName = '127.0.0.1';var port = 3000; var server = http.createServer(function(req,res){res.setHeader('Content-Type','text/plain');const parsed = url.parse(req.url);const pathname = parsed['pathname'] const queryObject = url.parse(req.url,true).query;let queryValue = queryObject['name'] if(queryValue==null){queryValue=""} if (pathname=="/"){res.end("SUCCESS!")}else if (pathname=="/echo"){res.end("SUCCESS! echo")} else if (pathname=="/foxtrot/:name"){queryValue = queryObject['name'].toString()res.end("SUCCESS! Received "+queryValue+" via foxtrot")}else{res.end("FAILED! Fix your URL.")} }) server.listen(port,hostName,()=>{console.log(`Server running at http://${hostName}:${port}/`);}); ======================== when i enter http://localhost:3000/foxrot/kilo i hope it to run and display "SUCCESS! Received kilo via foxtrot" but it shows like the picture whats this problem ?how to fix this…