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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

ab-demo

Simple front-end A/B experiment

awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

cml

♾️ CML - Continuous Machine Learning or CI/CD for ML

code-review-checklist

Code Review Guides for Lambda School PMs

computer-architecture

Computer Architecture

cs-module-project-algorithms

cs-module-project-hash-tables

cs-module-project-iterative-sorting

cs-module-project-recursive-sorting

cs-sprint-challenge-hash-tables

cufflinks

Productivity Tools for Plotly + Pandas

dash-template

data-structures

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

diy-help

Project to scrape and analyze DiY Media Group Help Sections

ds-hiring-guide

Hopefully a useful guide to the job search process for Lambda School students

ds-unit-1-sprint-1-dealing-with-data

David Martinez - Data Science Unit 1 Sprint 1

ds-unit-1-sprint-2-data-wrangling-and-storytelling

ds-unit-1-sprint-3-statistical-tests-and-experiments

Notebooks, assignments, and sprint challenge for Data Science Unit 1 Sprint 4

ds-unit-1-sprint-4-linear-algebra

ds-unit-1-sprint-5-data-storytelling-blog-post

ds-unit-2-applied-modeling

ds-unit-2-linear-models

ds-unit-2-project

Make predictions on tabular data

ds-unit-2-tree-ensembles

ds-unit-3-sprint-1-software-engineering

Software Engineering and Reproducible Research for Data Science