: import pandas as pd file_path='/Users//Downloads/Data 2/ExampleTrainDataset.csv' filepath2 = '/Users//Downloads/Data data = pd.read_csv(file_path) data2 = pd.read_csv(filepath2) 2/ExampleTestDataset.csv' print(data) print(data2) x1 x2 x3 Y 012345678 2 3.0 2 0 2 3.0 4 0 2 3 9.0 1 0 3 1 0.5 2 0 4 2.0 1 0 5 7 2.0 1 1 3 2.0 5 1 5 2.0 2 1 8 2 4.0 3 1 2 226 11234 9 3 2.0 0 x1 1 1 x2 x3 Y 2 6 3 7 4 3 32243 3 1 0 2 4 0 2 2 1 4 3 31 3 1 1 1
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a): Implement a single perceptron to learn/train from
“ExampleTrainDataset.csv“.
- Use squared error as the loss function.
- Implement batch-based learning (i.e, accumulate loss for all samples in
each iteration, and update weights once at the end)
- Use sigmoid activation function for the perceptron. Learning rate = 0.01
- Perform 50 iterations of learning.
- Plot a graph of training Loss with respect to iterations. Include this graph in
your report with the final weight
a): Using the trained perceptron, perform predictions on
“ExampleTestDataset.csv” and report the test loss.
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- Python pandas exersize Dataset url = 'https://raw.githubusercontent.com/justmarkham/DAT8/master/data/chipotle.tsv' 1. Import the necessary libraries 2. Import the dataset from url 3. Assign it to a variable called var. 4. How many products cost more than $10.00? 5. What is the price of each item?Python Panda DataFrme Use this file: names.txt Write a Python script that reads this file into a dataframe. Find the max and min age. Using the loc indexing operator, extract rows 2 & 3 ## Screenshot of names.txt attachedclose all; clear all; clc; current_script = mfilename('fullpath'); script_directory = fileparts(current_script);file_name0 = 'data_00.csv'; file_name1 = 'data_01.csv'; file_name2 = 'data_02.csv'; file_name3 = 'data_03.csv'; data0 = csvread([script_directory '\' file_name0]); data1 = csvread([script_directory '\' file_name1]); data2 = csvread([script_directory '\' file_name2]); data3 = csvread([script_directory '\' file_name3]); avg_data = (data1 + data2 + data3) / 3; figure; % plot (data0(:,1), data0(:,2), 'b-', 'LineWidth', 2, 'DisplayName', 'Parabolic Curve');hold on; % plot(avg_data(:, 1), avg_data(:, 2), 'k-', 'Linewidth', 1, 'DisplayName', 'Average Data Points'); plot(smooth_data(:, 1), smooth_data(:, 2), 'k-', 'Linewidth', 1, 'DisplayName', 'Smoothed Data'); scatter(data1(:,1), data1(:,2), 5, 'r', 'filled', 'DisplayName', 'Sample Data Points 1'); scatter(data2(:,1), data2(:,2), 5, 'g', 'filled', 'DisplayName', 'Sample Data Points 2'); scatter(data3(:,1), data3(:,2), 5, 'y',…
- from dateutil import parserimport datetimefrom datetime import datetimeusernames = []passwords = [] def reg_user():"""Return for registering new user"""withopen('user.txt', 'a') asfile1: iflogin_username == "admin": new_username = input("Enter a username: ") whilenew_usernameinusernames:print("This username already exists.")new_username = input("Enter a username: ") new_password = input("Enter a password: ")confirm_password = input("Re-enter the password: ")whileconfirm_password != new_password:print("Passwords do not match.")new_password = input("Enter your password: ")confirm_password = input("Re-enter your password: ")else:print("Welcome ", new_username) whilenew_passwordinpasswords:print("This password already exists.")new_password = input("Enter a password: ")confirm_password = input("Re-enter the password: ") else:print("User not authorised to register a new user.")return file1.writelines(f"\n{new_username}, {new_password}") def add_task():"""Return for adding…In Chapter 11, you created the most recent version of the MarshallsRevenue program, which prompts the user for customer data for scheduled mural painting. Now, save all the entered data to a file that is closed when data entry is complete and then reopened and read in, allowing the user to view lists of customer orders for mural types.T/F Q. By default if any regular file is created, the number of link is displayed as 1.
- #Fill in comments to spec. import sqlite3from contextlib import closing from Objects import Player, Lineup conn = None def connect():global connif not conn:DB_FILE = "player_db.sqlite"conn = sqlite3.connect(DB_FILE)conn.row_factory = sqlite3.Row def close():if conn:conn.close() def get_players():return None #remove this line when code is added.# SQL statement to select all 7 fields for all players # Use a with statement to execute the query # Create a lineup object# use a loop to populate the lineup object with player objects# return the lineup object def get_player(playerID):return None #remove this line when code is added.# SQL statement to select all 7 fields for a player # Use a with statement to execute the query & return a player object if the player exists def add_player(player):return None #remove this line when code is added.# SQL statement to insert 6 fields for a player added to the table # Use a with statement to execute the query def delete_player(player):return None…javascript please //20. function initPage//a. Dependencies: getUsers, populateSelectMenu//b. Should be an async function//c. No parameters.//d. Call await getUsers//e. Result is the users JSON data//f. Passes the users JSON data to the populateSelectMenu function//g. Result is the select element returned from populateSelectMenu//h. Return an array with users JSON data from getUsers and the select element//result from populateSelectMenu: [users, select] html <body> <header> <h1>Acme Blogs</h1> <form id="filterForm"> <select id="selectMenu"> <option selected>Employees</option> </select> </form> </header> <main> <p class="default-text">Select an Employee to display their posts.</p> </main> <footer> <p>Acme Company</p> </footer> <div id="mocha" class="testResults"></div>…Please help me write the following function (please see the attached photos for context of the problem): find_treasure(start_map_num): Takes an integer between 0 and 9 as input. Loads the corresponding map file, and starts following the trail (at position 0, 0 of that file) as described above. Continues following the trail through other map files as needed. Places an 'X' at the conclusion of the trail and saves the updated treasure map to a new file with 'new_' prepended to the current map filename. Returns a tuple of the row and column index where the 'X' was placed in that file.
- #DB File import sqlite3import sysimport osfrom contextlib import closing from Objects import Player, Lineup conn = None def connect():global connif not conn:if sys.platform =="win32":DB_FILE = "player_db.sqlite"else:HOME = os.environ["HOME"]DB_FILE = HOME + "player_db.sqlite"conn = sqlite3.connect(DB_FILE)conn.row_factory = sqlite3.Row def close():if conn:conn.close() def get_players():query = '''SELECT * FROM Player;'''with closing(conn.cursor()) as c:c.execute(query)results = c.fetchall()player = Player(playerID, batOrder, first, last, position, at_bats, hits)for row in results:for player in row:lineup = Lineup.add(Player(player)) return lineup# SQL statement to select all 7 fields for all players # Use a with statement to execute the query # Create a lineup object# use a loop to populate the lineup object with player objects# return the lineup object def get_player(playerID):query = '''SELECT * FROM PlayerWHERE playerID = ?;'''with closing(conn.cursor()) as c:c.execute(query,…Javascript Create a function named "getUser". This function needs to accept a "userID" parameter. Use Fetch with Async/Await to request the data for the requested user. The function should return JSON data.the "list.txt" contains information about materials stored in the warehouse. Every record (line) in the file contains code, name and description seperated by "#" write a php script that will open the file, read the content of the file and manupulate using associative array with code as a key. the array should be sorted by the code and displayed to the user.