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# Assignments | ||
repo for assignment submission | ||
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# Submission Steps | ||
1. Fork the Assignments Repository. | ||
2. Now clone your forked repo. | ||
3. Commmit/Push your assignment folder to your forked repo. | ||
4. Make the pull request to the main repository. | ||
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# Submission Guidelines | ||
1. The directory stucture should be as following: | ||
. | ||
├── Assignments | ||
| ├── assignment_1 (assignment number) | ||
| ├── x ( x is your assignment folder with your name) | ||
| ├──readme.md | ||
| └──(project files).... | ||
| ├── y (y is another person's assignment folder with his name) | ||
| ├── readme.md containing problem statement | ||
| └──... | ||
| ├── assignment_2 | ||
| └──.... | ||
├──readme.md | ||
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2. Try not to make any changes in another person's folder and maintain the directory stucture. |
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# Problem Statement: Train a model to print the first `n` elements of the Fibonacci sequence starting at integers `a` and `b`. Note that `a` < `b`, and `n` <= 100 are user supplied arguments. You may not use the standard summing operation to print the next element.Example I/O: | ||
Input: a=5, b=7, n=5 | ||
Output: 5, 7, 12, 19, 31 | ||
Input: a=7, b=41, n=6 | ||
Output: 7, 41, 49, 90, 139, 229 | ||
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## | ||
Submission Guidelines | ||
1. Make a proper readme.md including the approach, dataset, model, experiments, results and steps to run the project. | ||
2. Include requirement.txt file. | ||
3. Make a predict.py file in which a user will input a,b,n and get the results. |