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algorithms-and-coding-interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

android-cheat-sheet

Cheat Sheet for Android Interviews

android-interview

📚 Questions for Android Engineer Interview 📚

android-interview-questions

Your Cheat Sheet For Android Interview - Android Interview Questions

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

byld

password banao website

caos

code-submissions

Submissions for 300 Days of Code.

coding-interview-university

A complete computer science study plan to become a software engineer.

elements-of-programming-interviews

Java solutions to problems in the book "Elements of programming interviews"

food-recommender-system

CF 2021 Winter Semester project

googleprep

preparation guidelines for google interview

grokking-the-object-oriented-design-interview

interview

Interview questions

interviewbit

My solutions

interviews

Everything you need to know to get the job.

item-based-and-user-based-collaborative-filtering

Download the Movielens dataset 1 (the 100K dataset) from http://www.grouplens.org/node/73 Build a simple user-based and item-based recommender system (papers have been provided). The dataset will have available and missing ratings. For evaluation you should use 5 fold cross validation. In each run, use 4 parts for training and the remaining 1 part for testing. Use the training set to predict the ratings of the test set. For user based approach (table 1) see how the MAE changes when the threshold for neighborhood selection varies: use thresholds 0.4, 0.5, 0.6, 0.7 For the item based approach (table 2) see how the accuracy changes when the number of similar items are restricted to K most similar items. Vary K: 10, 20, 30, 40 To test how good or bad your recommender system is, I have computed the Mean Absolute Error (MAE) on the test set. For measuring similarity I have used the Cosine Similarity

leetcode

Leetcode Submissions

leetcode_company_frequency

Collection of leetcode company tag problems. Periodically updating.

linkedin-premium

LinkedIn Premium Interview Preparation

loan-prediction

Machine Learning Project (IIITD Monsoon Semester 2020)

machine-learning-online-2018

ML Online Course Repository. Course videos on online.codingblocks.com

nuclear-norm-minimization-

password_banao

passwordbanao.com

the user has the choice to upload a text file or an audio file or an image and the website will create a distinct password for that particular file. the same password will be genereted for the same file again and again.

tech-interview-cheat-sheet

Studying for a tech interview sucks. Here's an open source cheat sheet to help

tech-interview-handbook

💯 Materials to help you rock your next coding interview