A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
-
Updated
Sep 13, 2020 - Jupyter Notebook
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A complete computer science study plan to become a software engineer.
Data science interview questions and answers
This repository is to prepare for Machine Learning interviews.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
A repo for data science related questions and answers
Resources for Oreilly's "Cracking the Data Science Interview" video series.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
Solutions to LeetCode problems in C++, Python, Haskell, APL, Java, Ruby, Rust, Racket, Scala, Kotlin, C#, F#, Clojure, Elixir, D, Q, J & K.
A curated list of 170+ leetcode questions grouped by their common patterns
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
A booklet on machine learning systems design with exercises
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Add a description, image, and links to the aniketgoogle topic page so that developers can more easily learn about it.
To associate your repository with the aniketgoogle topic, visit your repo's landing page and select "manage topics."