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ML assignement1 2019-COPS SUMMER SCHOOL

Here is the first assignment of CSOC ML on the topics of Python and Numpy.

Instructions to submit

Login into your GitHub account and fork this repo by clicking on the Fork button on the top right. You now need to clone the forked repository, complete the assignment, stage and commit the changes, and finally push the changes online. This interactive tutorial will help you cover the basics of Git.

Follow these commands to push your assignment after completion. Using cd command go to your assigment folder where you clone it.Now type these commands.

git add -A
git commit -m "Assignment_1 completed"
git push origin master
Open your repo on github and click the green button to create PULL REQUEST

If you are uncomfortable with command line, you can use Git GUI tool GitKraken. Install it from here. After installing,

  1. Login into GitKraken with GitHub
  2. Choose Clone Repo (File -> Clone Repo)
  3. Open the Repo
  4. Complete the assignment.
  5. Stage all changes (button on the right.)
  6. Fill in the commit message and press commit.
  7. Push the repo (button is on the top).
  8. Fill the form

Here is the markdown tutorial it is a super simple way to add formatting like headers, bold, bulleted lists, and so on to plain text.

Assignment_1_a - Numpy and Python Basics

The first part of the assignment is aimed to make you familiar with some of the basic Numpy functions.

Files Given

array.pickle - A pickle file containing input array.
Assignment_1_a.ipynb - A Python notebook which needs to be filled by you at appropriate palces to complete the assignment. Read the comments in order to understand what is required to be done at each step. 

In case you don't know the function which is required to execute any given operation or if you can't remember its syntax, Google your way out! Still if you face any difficulties, you can ask on the Slack channel. The assignment may be a easy one and not cover all the topics related to the library but your grasp over these libraries increases with time and practice. All the best!!

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First assignment of CSOC ML

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  • Jupyter Notebook 100.0%