All posts by : chebby

 Xcode is the application used to develop an iOS app. An Xcode project is the source for an app; it’s the entire collection of files and settings needed to construct the app.  Apple has propelled the world into the mobile boom as it constantly is innovating and creating new boundaries within the mobile industry.  When developing mobile apps, choosing one platform helps developers focus their skills.  However, beware as this may also “lock” developers into that platform.  Whatever iOS fits into the mobile app strategy, be aware Apple has a large market share and will be around for a long time.

• What specific features do you enjoy most about iOS?
• Why are Storyboards great features to use in iOS development?
• Why is “automatic reference counting” considered a type of garbage collection mechanism?

Please read throughly the instruction. Attached file

 List and briefly describe the nine-step process in con-ducting a neural network project.
Your response should be 250-300 words. 
There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post.  Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.

Module 06 Content

1. Lab assignment develop a PowerPoint presentation on assessing the value for SSL decryption in an Enterprise environment. Your PowerPoint presentation will require a minimum of 8 slides and no more than 12 slides. You will need to include clear and concise work notes within your presentation slides. Be sure to cite your sources.

   Submit your completed assignment by following the directions linked below. Please check the Course Calendar for specific due dates.

   Save your assignment as a PowerPoint document. (Mac users, please remember to append the “.PPT” extension to the filename.) The name of the file should be your first initial and last name, followed by an underscore and the name of the assignment, and an underscore and the date. An example is shown below:

   Jstudent_exampleproblem_101504

Compare the different data storage options available in Android. What are the advantages and disadvantages of each type? 

please see discussion below and respond using 150 words or more

This  course has proven to be very beneficial in my overall understanding of  Java and programming in general. To explore further in depth a very  important aspect of programming (data structures and their applications)  has truly enlightened me to more possibilities when creating code, and  to think more logically (which is never a bad thing in this field!). 

Learning how to create and manipulate the different data structures  proved to be quite difficult at times, but I also learned a great deal,  and am glad for the work. The assignments made me think critically and  were also enjoyable and thorough in explanation. I know that this course  will prove to be very beneficial in my future with computer  programming.

The professor was always very prompt with response to questions,  provided detailed and helpful feedback for the assignments, and provided  good insight in the discussions. He shared his understanding of the  subject material throughout each module and was always polite and  respectful!

Overall, though I did have some trouble at times, I thoroughly  enjoyed this course and am glad to continue my pursuit of knowledge in  this field.

 Create a website for access your database, and include some functionalities, like:•insert records to each table,  you may need to update other tables when you need to insert a record to a table.•query records from each table using different columns•delete records from each table, you might need to update other tables when you delete a record from a table. 

Implement priority queue using max heap

write own original codes. Create table 

We consider a regression problem for predicting the demand of bike-sharing services in Washington D.C.1 The prediction task is to predict the demand for the bikes (column cnt) given the other features: ignore the columns instant and dteday. Use the day.csv file from the data folder. (a) Write a Python file to load day.csv.2 Compute the correlation coefficient of each feature with the response (i.e., cnt). Include a table with the correlation coefficient of each feature with the response. Which features are positively correlated (i.e., have positive corre- lation coefficient) with the response? Which feature has the highest positive correlation with the response? (b) Were you able to find any features with a negative correlation coefficient with the response? If not, can you think of a feature that is not provided in the dataset but may have a negative correlation coefficient with the response? (c) Now, divide the data into training and test sets with the training set having about 70 percent of the data. Import train_test_split from sklearn to perform this operation. Use an existing package to train a multiple linear regression model on the training set using all the features (except the ones excluded above). Report the coefficients of the linear regression models and the following metrics on the training data: (1) RMSE metric; (2) R2 metric. [Hint: You may find the libraries sklearn.linear_model.LinearRegression useful.] (d)  Next, use the test set that was generated in the earlier step. Evaluate the trained model in step (c) on the testing set. Report the RMSE and R2 metrics on the testing set. (e)  Interpret the results in your own words. Which features contribute mostly to the linear regression model? Is the model fitting the data well? How large is the model error? 

 1https://www.kaggle.com/datasets/marklvl/bike-sharing-dataset?search=bike+demand+Washington& select=Readme.txt. You can also find a Readme.txt file that explains all the features in the dataset. 2Refer to https://docs.python.org/3/library/csv.html on how to load a csv file in Python.