Chapter 3, Problem 1.6EYK

TODO 3 Complete the TODO by filling in the code for plotting the sepal length and width features against each other for each iris flowers. The resulting plot should match the below plot image. Using all the setosa data samples ONLY, index the 'sepal length' feature from the iris_df. Store the output into setosa_sepal_length Hint: Recall .loc[] requires two inputs, one for rows and one for columns as follows: .loc[rows, columns]. The rows we need to access are stored in setosa_locs! Using TODO 3.1 as an example, index the 'sepal width' feature from the iris_df for all the setosa data samples. Store the output into setosa_sepal_width Using TODO 3.1 as an example, index the 'sepal length' feature from the iris_df for all the versicolor data samples. Store the output into versicolor_sepal_length Using TODO 3.1 as an example, index the 'sepal width' feature from the iris_df for all the versicolor data samples. Store the output into versicolor_sepal_width Using TODO 3.1 as an…

Revise the following img element to attach it to the mapsites image map: <img src=”logo.png” alt=”” />

Please do not give solution in image format thanku Finally, create a table with three columns. The first column should be your X, also known as the flipper_length_mm column from your cool_penguins table. The second column should be your Y, also known as the body_mass_g column from your cool_penguins table. The third column will be something you create. It should be called predicted_body_mass_g. Using the slope and intercept that you have calculated, compute the estimated body mass using the flipper_length_mm as the predictor variable.   HINT 1: Look at Q12 of HW4 to see how you computed the regression line   HINT 2: What you produced in that question (predicted_rnaseq) is an array of predicted numbers. How do you add an array of numbers to a table as a column?   In [21]:   # While it's possible to do this in one line, breaking this problem into steps might be more helpful!prediction = ...​prediction.show(5)

how to create a new data frame df_cyl by subsetting the data frame based on a user defined value for the column cyl

I have to put the table in the attached image in 2NF and 3NF form, but am stuck. Thanks for your help.

Perform region growing based segmentation using N4 neighborhood for threshold value 15 based on the specified starting points (seed point: dark pixel) for the image segment given below. Indicate segmented pixels by painting the tiles black. (Your quick response is important to me, thank you very much in advance.)