Project on housing price analysis and price prediction

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Reference no: EM133045102

PROJECT TOPIC - "Housing price analysis and price prediction" using genetic algorithms.

Use neural network along with the genetic algorithm.

A. You have to do the execution coding part and submit it in python file

B. You have to make a modifications to that and submit the code in python

C. Do the write part consist of intro, background, literature review, execution, results and analysis discussion, conclusion and future scope.

Project Your project is to implement your idea that was discussed with the professor.

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Working Project
You have likely identified your project idea. You may change the idea as the project goes on, but please do check with the professor first. The project is entirely yours so do what you want. Be ambitious! You will not lose marks simply for having poor results (although you may lose marks if your poor results are due to a poor implementation).

Most projects have fallen into an application project, an algorithmic improvement analysis, or a deep analytical dive into a variety of algorithms on a variety of problems. These are all great paths to take but do note that expectations on the analysis side will depend on the particular project.

Any academic misconduct will be investigated fully and I will push for the maximum allowable penalty.

Assuming you get everything working and you don't have any serious problems, you will automatically get +10 on your assignment.

Modifications
For the project, modifications is a misnomer. Realistically this is the category I will use to identify what I think is great or lacking about your project. It will likely be a mix of modifications, novelty, analysis, etc. Understand that in this category, like most of the points for the class, I am looking for areas to give you points and not take them away so be sure to (a) give me an excuse to give you points, and (b) make it obvious what you did! You will get points for these things up to a maximum of +10 points.

Again, be sure to make things obvious and convince me that you deserve the extra points. If your improvement is not obvious to me, or if I deem it as not significant enough, you will not get the points.

Writeup
You can obtain a maximum of +10 for doing a writeup with +8 being from the base report. Unlike the assignments, you are required to do proper references, have figures and tables, and do a proper statistical comparison (most people have failed at this so far in the course).
Please make all the content in the writeup clear and concise. Understand that I want to read as little as possible while understanding as much as possible. Format it however you feel is most effective for communicating to me what you did efficiently.


WARNING: The writeup is not trivial to do well and will take some time to write. This writeup will be marked more qualitatively by a marker. There is no precise best way to structure a writeup and it is difficult to know exactly what should be included. A portion of these marks will be dedicated to prose, understandability, continuity, spelling, grammar, content, and effectiveness.

Again, do note that the marks for this portion will be more qualitative and it will be difficult to know what's good beforehand. The content is up for you to descide and your decision making on what to include is part of the assignment and course learning objectives. There is no required length for the report, but please do NOT make it longer than 8 pages double column format.

Latex
You can obtain +2 if you complete your report in Latex. I will not teach you how to use it, however there are many tutorials available online.

References/Citations
You must include a sufficient literature review and have proper references/citations. Don't worry too much about your formatting. There is no correct number of references to include, just do what makes sense in your situation.

If using LaTeX, BibTeX will make your life easier. Google Scholar also REALLY makes your life easy. If you search for an article/book on Scholar, select the blue quote image ( " ), and then in the bottom of the popup ‘Cite' window you will see ‘BibTeX'. Click this and copy it into your BibTeX (.bib) file. Perfect citations and references every time (assuming Google has them right)!

Figures and Tables
Include effective use of figures, tables, etc. in your writeup. Examples include an algorithm flow diagram, a table of parameter settings, tables of results, learning curves, distributions, etc. The marker determines if you receive the mark or not.

Statistics
Include proper statistics and comparisons. Given the stochastic nature of the algorithm, typically people do at least 30 runs of any experiment (run 30x with the same settings on the same problem instance) to get statistical significance. If you wanted to compare parameter settings, compare the distributions of errors from the 30 runs with two sets of settings. What statistics should you use? What should you actually be comparing? That's up to you to decide. The marker determines if you receive the mark or not.

Attachment:- Project Assignment.rar

Reference no: EM133045102

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Reviews

len3045102

12/10/2021 11:35:49 PM

Please ask the expert to go through the pdf I am attaching the expert has to do everything mentioned in the breakdown in pdf namely Written in word or pdf Execution of project in python file Modifications in python file All these has to be done for "housing price analysis and prediction using genetic algorithm along the nueral network".pour main focus on genetic algorithm.so we have to show that solo nueral network does not have that much accuracy ,bit when you combine it with genetic algorithm speed and accuracy increases. So execution is the python code for that . And for this make modifications with parameters so that it works more better which you again share in python file

len3045102

12/10/2021 11:35:36 PM

See each part has importance modifications part is always ignored.it has extremely equal weightage . " Ask the expert to go through the pdf 10 times and do all things mentioned in the breakdown." I can send sample code link from GitHub which can be of reference but ask him not to copy from there.He has to do it own. Thing here is you have to use genetic algorithm with nueral network and show by using genetic algorithm with nueral network it is working very accurate and plot those results and analysis properly. Deliver everything mentioned in the PDF for the housing price prediction using generic algorithm without copying from Google plagiarizing If something I missed saying that breakdown is clearly mentioned in pdf I am sharing.so after this don't say I didn't gave instructions.already am on the verge of failing the course .This is extremely important for me ,if you mess this up I will fail my course ,so promise only if you can deliver . And you have to be in contact with me all the time .you have to be completely responsible for the delivery of project.

len3045102

12/10/2021 11:35:15 PM

I need a project to be done on evolutionary computation as a part of my course. what all you should do in project is mentioned clearly in the pdf attached. TOPIC - My project Is confirmed. it is " housing price analysis and price prediction" using genetic algorithms. What you have to do in a project is clearly mentioned in pdf. my project Is confirmed .it is " housing price analysis and price prediction" using genetic algorithm. we will neural network along with the genetic algorithm.Here the thing is individual neural network won't predict properly but when genetic algorithm is used with it ,price prediction is more accurate and fast. This one is there in Google if expert copy from there I will fail. open the pdf I attached .

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