Hungarian Algorithms

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timer Asked: Feb 6th, 2019
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Question Description

An MS Word document with your research results.

Filename: HW1_AlgorithmName.DOCX

Notes:

Use single spacing, font Calibri, size 11 throughout.

Include only the Section ID and your answers. Do not include the title of each section in your answer and do not use tables for section 1 or any other formats, e.g. your file should look like:

1. Simple Linear Regression

2. Method for building a model that characterizes the relationship between a dependent variable (y) and one explanatory (independent) variable (x). All data must be numerical. The dependent variable must be a ratio (not categorical)……

Attachment preview

ADA-II HW1:
Complete research on two algorithms (all students):
- Simple Linear Regression
- Multiple Linear Regression
Submit one set of these three files for each algorithm:
a) An MS Word document with your research results.
Filename: HW1_AlgorithmName.DOCX
Notes:
Use single spacing, font Calibri, size 11 throughout.
Include only the Section ID and your answers. Do not include the title of each section in your answer
and do not use tables for section 1 or any other formats, e.g. your file should look like:
1. Simple Linear Regression
2. Method for building a model that characterizes the relationship between a dependent variable
(y) and one explanatory (independent) variable (x). All data must be numerical. The
dependent variable must be a ratio (not categorical)……
3. ….
b) A Jupyter Notebook with python code demonstrating use of the algorithm.
Filename: HW1_AlgorithmName_code.IPYNB
c) The data file used.
Filename: HW1_AlgorithmName_datafile.CSV
Section A - research:
1. Algorithm name
2. Description in plain language (half page). Include cases used for.
3. Mathematical formula or formulae
4. Datasets it can be applied to:
a. List types of data
b. State minimum number of observations it requires, other constraints
c. Describe restrictions (1 paragraph)
5. Assumptions:
a. Describe when it cannot work effectively (1 – 2 paragraphs)
b. Describe limitations of the algorithm (1 – 2 paragraphs)
6. Implementation:
a. Python Library used
b. List function / method names used to run the algorithm

Unformatted Attachment Preview

ADA-II HW1: Complete research on two algorithms (all students): - Simple Linear Regression - Multiple Linear Regression Submit one set of these three files for each algorithm: a) An MS Word document with your research results. Filename: HW1_AlgorithmName.DOCX Notes: Use single spacing, font Calibri, size 11 throughout. Include only the Section ID and your answers. Do not include the title of each section in your answer and do not use tables for section 1 or any other formats, e.g. your file should look like: 1. Simple Linear Regression 2. Method for building a model that characterizes the relationship between a dependent variable (y) and one explanatory (independent) variable (x). All data must be numerical. The dependent variable must be a ratio (not categorical)…… 3. …. b) A Jupyter Notebook with python code demonstrating use of the algorithm. Filename: HW1_AlgorithmName_code.IPYNB c) The data file used. Filename: HW1_AlgorithmName_datafile.CSV Section A - research: 1. Algorithm name 2. Description in plain language (half page). Include cases used for. 3. Mathematical formula or formulae 4. Datasets it can be applied to: a. List types of data b. State minimum number of observations it requires, other constraints c. Describe restrictions (1 paragraph) 5. Assumptions: a. Describe when it cannot work effectively (1 – 2 paragraphs) b. Describe limitations of the algorithm (1 – 2 paragraphs) 6. Implementation: a. Python Library used b. List function / method names used to run the algorithm 7. Evaluation: a. Describe how to evaluate results when running it (1 paragraph) b. Describe meaning of results (1 paragraph) c. List function / method names used to evaluate the algorithm 8. Dataset description and link to exact location obtained from (1 paragraph) 9. Additional important notes, as applicable (max 1 page) 10. Supporting diagrams and additional notes Section B – references: Copy/paste the table below in your answer to add a simple listing of links to online or other resources used in each applicable section above: Section number: links. Include notes as needed. Section Link(s) 1 2 3 4 5 6 7 8 9 Notes ADA-II HW1: Complete research on two algorithms (all students): - Simple Linear Regression - Multiple Linear Regression Submit one set of these three files for each algorithm: a) An MS Word document with your research results. Filename: HW1_AlgorithmName.DOCX Notes: Use single spacing, font Calibri, size 11 throughout. Include only the Section ID and your answers. Do not include the title of each section in your answer and do not use tables for section 1 or any other formats, e.g. your file should look like: 1. Simple Linear Regression 2. Method for building a model that characterizes the relationship between a dependent variable (y) and one explanatory (independent) variable (x). All data must be numerical. The dependent variable must be a ratio (not categorical)…… 3. …. b) A Jupyter Notebook with python code demonstrating use of the algorithm. Filename: HW1_AlgorithmName_code.IPYNB c) The data file used. Filename: HW1_AlgorithmName_datafile.CSV Section A - research: 1. Algorithm name 2. Description in plain language (half page). Include cases used for. 3. Mathematical formula or formulae 4. Datasets it can be applied to: a. List types of data b. State minimum number of observations it requires, other constraints c. Describe restrictions (1 paragraph) 5. Assumptions: a. Describe when it cannot work effectively (1 – 2 paragraphs) b. Describe limitations of the algorithm (1 – 2 paragraphs) 6. Implementation: a. Python Library used b. List function / method names used to run the algorithm 7. Evaluation: a. Describe how to evaluate results when running it (1 paragraph) b. Describe meaning of results (1 paragraph) c. List function / method names used to evaluate the algorithm 8. Dataset description and link to exact location obtained from (1 paragraph) 9. Additional important notes, as applicable (max 1 page) 10. Supporting diagrams and additional notes Section B – references: Copy/paste the table below in your answer to add a simple listing of links to online or other resources used in each applicable section above: Section number: links. Include notes as needed. Section Link(s) 1 2 3 4 5 6 7 8 9 Notes ...
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Tutor Answer

Super_Teach12
School: Cornell University

Again, I just want you to clarify that there is no question stated to lists the equation :).. Kindly correct me if I am wrong ;). By the way, here ...

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Anonymous
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