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This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Jupyter Notebook 4,054 734 Updated Mar 5, 2024

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Jupyter Notebook 3,468 992 Updated Jun 5, 2024

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

TeX 4,839 698 Updated Mar 15, 2023

Data science interview questions and answers

HTML 8,614 1,922 Updated Jun 18, 2024

Curated list of data science interview questions and answers

2,995 692 Updated Jan 23, 2024

software for the analysis and visualization of deep mutational scanning data

Python 30 20 Updated Oct 6, 2022

Example deep mutational scanning dataset for Enrich2

5 Updated Sep 17, 2016

A collection of perl scripts for NGS analysis

C++ 10 Updated May 20, 2024

Nanopore RNA-Seq data from the Singapore Nanopore-Expression Project

Jupyter Notebook 101 24 Updated Jun 27, 2024

An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.

R 22 7 Updated Jun 7, 2024

Tools for manipulating biological data, particularly multiple sequence alignments

Python 143 53 Updated Jul 17, 2024

ASAP : Automated Single-cell Analysis Pipeline

Java 23 10 Updated Apr 3, 2024