coordinator-task-1's Introduction

Coordinator-Task-1

Git Tasks:

Fork and clone this Github repository.
Create a new branch and set its name to your “Name”.
Create a folder named "Name" (or Handle) in which you have all the contents of whatever submission you wanna make (solutions to question 1 and 2).
Merge your branch with the master branch.
Pull origin & add files, commit and push to fork.
Create pull request on main repo
Create Issue

Resources for Getting Started with Git:

There’s 2 questions in the task to help you get comfortable with python, do try both of them out.

Python Tasks:

Create two vectors 𝑦 and 𝑦̂ having the same dimensions, where 𝑦̂ should consist of random numbers between [0,1) and 𝑦 should contain 0𝑠 and 1𝑠, for example, 𝑦=[0,1,1,0,1,0,0,1,...,1]. Compute the given expression:

Where n = 100, is the total number of elements in y and 𝑦̂

Note: The expression O, which you have computed is actually a Cross-Entropy loss function used in machine learning for classification tasks which tells us how bad or good the model is performing, if O is large then the model is performing worst and vice versa.
Write a Python class to find a pair of elements (indices of the two numbers) from a given array whose sum equals a specific target number. Note: There will be multiple solutions, so create a dictionary where the keys represent just [S.No] (1,2,3,4.....) and the value corresponding to the key represents the indices of the two numbers

For example:

Input: numbers= [10,20,10,40,50,60,70], target=50

Output: {1: [0, 3], 2: [2, 3], 3: [3, 0], 4: [3, 2]}

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