Programming Homework Help

FIN 387 Singapore School Importance of the Design Principle in Cryptography Project

 

1. Refer to the file attached as sample (file attached is a signature encryption coding file)

2. Do only question 5 part b (Question is based on Python’s pycryptodome package)

3. Question requires us to implement an RSA-based hybrid encryption scheme.

4. use Python’s comment to provide brief explanation on your code

5. encryption/decryption should be performed on a txt file

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CP 420 BriannaJuict Computer Programing Exercise

 

Q1: Read these two data sets into R. Use the variable names of the summary
statistics from the file “crime-data-info.txt” as the 6-th to 147th column names of
the data set “CrimeData”. The first five column names of the data set “CrimeData”
are, respectively, “State”,”County”,”CommCode”,”CommName” and “fold”.
Find the feature variables in “CrimeData” that have missing values and delete the
columns with missing values. Also delete the columns corresponding to “State”,
“County”,”CommCode” and “fold”. The resulting data set is a complete data set
without missing values (name it as “CompleteCrimeData”), which has 101
columns. Among them, the first column is the community names and last column
is the target variable: the total number of violent crimes per 100K populations

Q2: Use the first 1500 rows (communities) as the training data set and the last
494 rows as the test data set. Fit a linear regression using all the 99 feature
variables with the target variable as the response, and estimate the coefficients in
the linear regression model using Least Angle Regression (LAR) for a sequence of
tuning parameters. Plot the solution paths of all the LAR coefficient estimators.

Q3: Based on the LAR estimator in Q2, if one would like to obtain a LASSO
estimate of coefficients in the above linear regression, could you specify the
smallest tuning parameter that would make the LAR estimator and LASSO
estimator different?

Q4: Compare the LAR estimator with the LASSO estimator via the plots of the
entire solution paths, and identify the portion of the solution paths where these
two estimators are the same. Which feature variable has different solution paths
at the tuning parameter you find in Q9? In terms of computational complexity,
how many more steps LASSO estimator used when it is compared with the LAR
estimator?

Q5: LASSO estimator depends on the tuning parameter. Different tuning
parameter would produce different estimators with different numbers of nonzeros. Use the cross-validation method to choose tuning parameters for the
LASSO estimator and identify the tuning parameter that would minimize the
mean square errors of the predictions.

Q6: Based on the tuning parameter chosen in Q5, predict the target variable use
the test data set given in Q3. Find the sum of the square errors (SSE) of the
prediction using the LASSO estimator.

Q7: Use the first 1500 rows (communities) as the training data set and the last
494 rows as the test data set. Fit a linear regression using the feature variables
with non-zero coefficients selected by LASSO in Q6 with the target variable as the
response, and estimate the coefficients in the linear regression model using ridge
estimator for a sequence of tuning parameters. Plot the solution paths of all the
ridge coefficient estimators.

Q8: Apply a ten-fold cross-validation method to the training data set in Q7 and
find the tuning parameter that minimizes the prediction error. Use the tuning
parameter chosen by the ten-fold cross-validation, predict the target variables in
the test data set and evaluate the SSE of the prediction errors. Compare the SSE
given by LASSO and the SSE given by the ridge regression.

we will apply ridge estimation and LASSO methods to a crime
data set available at
http://archive.ics.uci.edu/ml/datasets/communities+and+crime. The data set
contains socio-economic data from three sources: the 1990 US Census, law
enforcement data from the 1990 US LEMAS survey, and crime data from the 1995
FBI UCR. There are 127 attributes including 122 predictive feature variables and 5
non-predictive attributes in the data set. These 122 attributes are considered to
be related to crime. There are two types of feature variables included in the data
set:
1. Community-related survey data: such as the percent of the population
considered urban, and the median family income;
2. Law enforcement data: such as per capita number of police officers, and
percent of officers assigned to drug units.

Programming Homework Help

University of California Los Angeles Algorithm as A Flow Chart Lab Report

 

I am attaching all the necessary documents required in order to complete the project.

I have finished step 1 and step 2 in the project (attached as well), I just need you to continue working on step 3 and step 4 based on the app I am designing.

You will also find the grading rubric in the document.

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Error and Control Report and C Programming Lab Report

 

I have a C++ program that I need you to write please.

Everything is explained in the attachment.

I just need you to write the program in a very very basic and beginner level please

also make sure to put a lot of comments explaining the codes you are writing , specially comments before every function.

and also write the “main function” at the end of the program please.

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COMSC 260 Diablo Valley College C Programming CPP Questions

 

I have all the files included in the zip file but right now i am not able to upload it. I will upload the instructions pdf so you know exactly what the assignment is about.

Please take only if you are able to complete it before time limit and I will tip you for sure!

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IME 762 Wichita The AD CAM 3DX Software Robot End Effector Presentation

 

hello, I have a project related to smart manufacturing and robot. please see the details and let me know if you can do it.

you are required to do 1- Robot End Effector ( using CAD/CAM • 3DX Software • Solidworks • ABB Robotstudio or tinkercad ). 2- house of quality (see the attached file for how to do it). 2- powerpoint slides (which include 1- Objectives • Explain the goal and the scope of work 2- Methodology • Provide logic/conceptual designs 3- Results & Discussion • Discuss about the methodology and results 4- References • List of textbooks or articles )

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Saudi Electronic University E Portals Development Discussion

 

  1. Post your answer to the question:

While developing a web application, there are many components involved in this process. Every website needs a web server to hos it. Explain in detail the main purpose of using the webserver and its role? Give examples of web servers and states the disadvantages of using the web server in general?

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ITD 256 Northern Virginia Community DDL Queries Cloud Instance Database Practice

 

DDL Queries:

1. While connected to your MySQL cloud instance, create a new database named cupcake_shop. (see https://www.w3schools.com/sql/sql_create_db.asp (Links to an external site.))

Make sure you are ‘using’ your new database by issuing the command use cupcake_shop;

 2. Create a table named order with the following fields and data types: (see https://www.w3schools.com/sql/sql_create_table.asp (Links to an external site.))

  • order_id as an integer and primary key, with auto_increment
  • order_date as datetime and not null (optional default as now())
  • cust_name as a varchar(100) and not null
  • product_name as a varchar(50) and not null
  • product_price as decimal(10,2) and not null
  • quantity as integer and not null