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- Use the iloc() function to extract the first 20 features of the dataframe har_train. Save this new dataframe to first_twenty. Next, using the seaborn library create a heatmap for the correlation matrix. First you have to create the correlation matrix from the pandas dataframe (save it in a dataframe called corr) and then plot it using seaborn with these customizations: Set the seaborn style to white. Generate a mask using np.triu(np.ones_like()) with the dtype as boolean to only show the lower triangle of the correlation matrix. Save it in a variable called mask. Set up the figure with matplotlib with figsize=(11,9). Use fig, ax = ... Generate a custom diverging colormap for the heatmap with the arguments (220, 10, as_cmap=True). Save it in a variable called cmap. Draw the heatmap with the mask and correct aspect ratio, using the arguments corr, mask=mask, cmap=cmap, vmax=.3, center=0, square=True, linewidths=.5, cbar_kws={"shrink": .5}). Finally, use fig.tight_layout() just before…Create a DTD for catalog of cars, where each car has the child elements make, model, year, color, engine, no_of_doors, transmission_type and accessories. The engine element has child elements no_of cylinders and fuel system. The accessories element has attributes radio, air-conditioning, power-windows, power_steering and power_brakes. Each of which is required and has possible values yes and no.Entites must be declared for the names of popular car makes. Display the document with CSS and XSLT.1) Create a histogram for Displacement with bin increments of 50. Paste the histogram with appropriately labeled title and axis. 2) Create a scatter plot showing the relationship between acceleration and horsepower. Paste the chart with appropriately labeled title and axis. 3) What is the correlation coefficient of horsepower and the cylinders the vehicles in the data set. Show the returned value of the correlation and describe the relationship.
- DTSC670: Foundations of Machine Learning Models Module 1 Assignment 2: COVID-19 Data Wrangling Name: The purpose of this assignment is to hone your data wrangling skills. Your task for this assignment is to perform the data preparation as instructed in the DTSC670_Assignment_2 pdf listed in Brightspace. After performing all the data preparation tasks outlined in the document, run the code in the "Prepare DataFrames for Grading" section. You are supplied an Excel file called BrazilcOVIDData.xlsx - be sure to put the data file in the same directory as this Jupyter Notebook. Please note that it may take around 5 minutes to read-in all of the data in this file. In [ ]: N ### ENTER CODE HERE ### # Insert as many cells as you need, but be sure your code is very neat and very well documented. In [ ]: N # Get Final Features DataFrame # features = ### ENTER CODE HERE ### # Get Final Response DataFrame # response = ### ENTER CODE HERE ###1- Display contact First name and contact Last name for customers after sorting the customersby their contact Last name in ascending order.2- selects the order line items (orderNumber, orderlinenumber) from the “orderdetails” table.Also, display the subtotal (quantityOrdered * priceEach) for each line item and sorts the resultset based on the subtotal descending .3- Display unique last names from employees table ordered by last name.4- Display customerNumber, customerName and creditLimit for getting the top five customerswho have the highest creditLimit.5- Find customer Name, customer country, sales representative employee number fromcustomers who do not have a sales representative.6- For each order status, display status and count of orders have this status.7- For Each order number in order details table, Display order number, sum of quantity ordered(itemsCount) and sum of (priceEach * quantityOrdered) as total. With condition “total”greater than 1000.8- Display product code, product…A: Create a spreadsheet that calculates the costs of shipping to Portland and Riverside by pallets based on the frequency distribution used in the histograms used in Milestone One. (Link the cost data to the data in the Costs&Distances tab.) State the rationale you used. Size of Shipment Tranport cost Cost per Pallet -requency Cost of Shipments Size of Shipment Tranport cost Cost per Pallet Frequency Cost of Shipments 6 12 18 24 48 72 3 6 12 18 24 48 72
- Import the dataset Student.csv. Display only the variable names of the Student.csv dataset. code in R language. StudentID First Last Math Science Social Studies 11 Bob Smith 90 80 67 12 Jane Weary 75 80 10 Dan Thornton, III 65 75 70 40 Mary O'Leary 90 95 92Write code in j-query to change the image in div element after click on button. Also make sure that text of button and background of the image should also be changed.a. Create table "STUDENT" with attributes "STUDENT_ID", "STUDENT_NAME", "STUDENT_GPA". b. Use appropriate datatype for each attribute. C. Insert details of three students. d. Use FOR loop to print these details in the descending order (Highest first and Lowest last) of their GPA.
- Create a formula that provides this information as follows: In cell H3, begin to enter a formula using the VLOOKUP Use the Project ID (cell H2) as the lookup value. Use the Lookup table (range A2:E23) as the table_array. Use the Project Name column (column 2) as the col_index_num. Specify an exact match (FALSE) for the range_lookup.Use Python Code Your task is : Visualization of confirmed cases of COVID-19 by country . (Use pandas to read the data table csv. Example df = pd.read_csv('COVID19.csv' ) then make a visualization using that csv table) Province/State Country Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0…For this question please paste in a single line of code that loads training and test data for the keras fashion mnist dataset.
