datascienceinterviews.github.io/mkdocs.yml at master · datascienceinterviews/datascienceinterviews.github.io · GitHub

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# Project information

site_name: Data Science Interview preparation

site_author: SourceStrongAI

site_description: >-

This is a completely open-source platform for

maintaining curated list of interview questions

and answers for people looking and preparing

for data science opportunities.

site_url: https://dsprep.com/

# Repository

repo_name: datascienceinterviews/datascienceinterviews.github.io

repo_url: https://github.com/datascienceinterviews/datascienceinterviews.github.io

hooks:

- hooks/generate_questions_json.py

extra_javascript:

- javascripts/mathjax.js

- https://unpkg.com/mathjax@3/es5/tex-mml-chtml.js

- javascripts/xfile.js

extra_css:

- 'stylesheets/extra.css'

extra:

generator: false

social:

- icon: octicons/mark-github-16

link: https://github.com/datascienceinterviews

- icon: fontawesome/brands/linkedin

link: https://www.linkedin.com/company/sourcestrongai

- icon: fontawesome/brands/x-twitter

link: https://x.com/sourcestrongai

- icon: octicons/globe-16

link: https://sourcestrongai.com

analytics:

provider: google

property: G-CMC251LQT6

# consent:

# title: Cookie Consent Help Us ✌️, Help You 🫵

# actions:

# - accept

# - manage

# cookies:

# analytics:

# name: Google

# checked: true

# github:

# name: GitHub

# checked: true

# description: >-

# We use cookies to recognize your repeated visits and preferences, improve and offer better services🤗

#

# With your consent🤝, you're helping us to give you better experience.

#

# <a herf="https://dsprep.com/privacy">Read about privacy policy here<a>

theme:

custom_dir: overrides

language: en

favicon: https://repository-images.githubusercontent.com/275878203/13719500-bb75-11ea-8f3a-be2ffb87a6a2

features:

# - announce.dismiss

- content.action.edit

- content.action.view

- content.code.annotate

- content.code.copy

- search.highlight

- search.share

- search.suggest

- content.tooltips

- navigation.instant.progress

- navigation.path

- navigation.top

- toc.follow

icon:

logo: fontawesome/solid/terminal

repo: fontawesome/brands/git-alt

palette:

# Palette toggle for automatic mode

- media: "(prefers-color-scheme)"

toggle:

icon: material/brightness-auto

# Palette toggle for light mode

- media: "(prefers-color-scheme: light)"

primary: deep purple

accent: purple

scheme: default

toggle:

icon: material/weather-sunny

# Palette toggle for dark mode

- media: "(prefers-color-scheme: dark)"

primary: deep purple

accent: purple

scheme: slate

toggle:

icon: material/weather-night

#plugins

plugins:

# - social # Requires: pip install "mkdocs-material[imaging]"

# - meta # Requires MkDocs Material Insiders (paid)

# - optimize

- glightbox

- enumerate-headings:

toc_depth: 6

strict: true

increment_across_pages: false

include:

- "Interview-Questions/*"

- "Cheat-Sheets/*"

exclude:

- "Interview-Questions/Interview-Questions.md"

- "Interview-Questions/data-structures-algorithms.md"

- "Interview-Questions/Machine-Learning.md"

- "Interview-Questions/System-design.md"

- "Interview-Questions/Natural-Language-Processing.md"

- "Interview-Questions/Probability.md"

- "Interview-Questions/AB-testing.md"

- "Interview-Questions/SQL-Interview-Questions.md"

- "Interview-Questions/Python.md"

- "Interview-Questions/Pandas.md"

- "Interview-Questions/NumPy.md"

- "Interview-Questions/Scikit-Learn.md"

- "Interview-Questions/LangChain.md"

- "Interview-Questions/LangGraph.md"

- "Interview-Questions/TensorFlow.md"

- "Interview-Questions/PyTorch.md"

- "Interview-Questions/Forward-Deployed-Engineer.md"

# - another_page.md

restart_increment_after:

- Interview-Questions/*"

- search:

lang:

- en

# - privacy:

# cache: false

# - git-revision-date-localized:

# type: date

- minify:

minify_html: true

- mkdocs-jupyter: #https://github.com/danielfrg/mkdocs-jupyter

execute: false

- with-pdf:

enabled_if_env: ENABLE_PDF_EXPORT

cover_logo: https://repository-images.githubusercontent.com/275878203/13719500-bb75-11ea-8f3a-be2ffb87a6a2

cover_title: The Data Science Book

cover_subtitle: https://dsprep.com

output_path: /workspace/datascienceinterviews.github.io/pdf_output/DataScience.pdf

back_cover: true

markdown_extensions:

- attr_list

- md_in_html

- pymdownx.arithmatex:

generic: true

- pymdownx.betterem:

smart_enable: all

- pymdownx.caret

- pymdownx.critic

- pymdownx.emoji:

emoji_index: !!python/name:material.extensions.emoji.twemoji

emoji_generator: !!python/name:material.extensions.emoji.to_svg

- pymdownx.inlinehilite

- pymdownx.magiclink

- pymdownx.mark

- pymdownx.smartsymbols

- pymdownx.superfences

- pymdownx.tasklist:

custom_checkbox: true

- pymdownx.tabbed:

alternate_style: true

- pymdownx.tilde

- meta

- codehilite

- admonition

- pymdownx.details

- pymdownx.superfences

# Page tree

nav:

- 🏡 Home: index.md

- ℹ️ About: Introduction.md

- 📅 Suggested Learning Paths: Suggested-Learning-Paths.md

- 🎓 Grokking Interviews:

- Overview and Shared Framework: Grokking/index.md

- Modern System Design: Grokking/modern-system-design.md

- Machine Learning System Design: Grokking/ml-system-design.md

- Generative AI System Design: Grokking/generative-ai-system-design.md

- Mobile System Design: Grokking/mobile-system-design.md

- Frontend System Design: Grokking/frontend-system-design.md

- Product Architecture: Grokking/product-architecture.md

- System Design Fast-Track (48 Hours): Grokking/system-design-fast-track.md

- 👨🏿‍🏫 Interview Questions:

- 📇 Flashcards: flashcards.md

# - 👨🏿‍🏫 Interview Questions: Interview-Questions/Interview-Questions.md

- DSA (Data Structures & Algorithms): Interview-Questions/data-structures-algorithms.md

- Machine Learning: Interview-Questions/Machine-Learning.md

- System Design: Interview-Questions/System-design.md

- Natural Language Processing (NLP): Interview-Questions/Natural-Language-Processing.md

- Probability: Interview-Questions/Probability.md

- A/B Testing: Interview-Questions/AB-testing.md

- SQL: Interview-Questions/SQL-Interview-Questions.md

- Python: Interview-Questions/Python.md

- Pandas: Interview-Questions/Pandas.md

- NumPy: Interview-Questions/NumPy.md

- Scikit-Learn: Interview-Questions/Scikit-Learn.md

- LangChain: Interview-Questions/LangChain.md

- LangGraph: Interview-Questions/LangGraph.md

- Transformers: Interview-Questions/Transformers.md

- TensorFlow: Interview-Questions/TensorFlow.md

- PyTorch: Interview-Questions/PyTorch.md

- Forward Deployed Engineer (FDE): Interview-Questions/Forward-Deployed-Engineer.md

- Interview Question Resources: Interview-Questions/Interview-Question-Resources.md

- 📝 Cheat Sheets:

- Django: Cheat-Sheets/Django.md

- Flask: Cheat-Sheets/Flask.md

- Hypothesis Tests: Cheat-Sheets/Hypothesis-Tests.md

- Keras: Cheat-Sheets/Keras.md

- LangChain & LangGraph: Cheat-Sheets/LangChain-LangGraph.md

- NumPy: Cheat-Sheets/NumPy.ipynb

- Pandas: Cheat-Sheets/Pandas.ipynb

- PySpark: Cheat-Sheets/PySpark.md

- PyTorch: Cheat-Sheets/PyTorch.md

- Python: Cheat-Sheets/Python.md

- Regular Expressions (RegEx): Cheat-Sheets/RegEx.md

- Scikit Learn: Cheat-Sheets/Sk-learn.md

- SQL: Cheat-Sheets/SQL.md

- TensorFlow: Cheat-Sheets/tensorflow.md

- ‍🎓 ML Topics:

- ARIMA: Machine-Learning/ARIMA.md

- Activation functions: Machine-Learning/Activation functions.md

- Collaborative Filtering: Machine-Learning/Collaborative Filtering.md

- Confusion Matrix: Machine-Learning/Confusion Matrix.md

- DBSCAN: Machine-Learning/DBSCAN.md

- Decision Trees: Machine-Learning/Decision Trees.md

- Gradient Boosting: Machine-Learning/Gradient Boosting.md

- K-means clustering: Machine-Learning/K-means clustering.md

- Linear Regression: Machine-Learning/Linear Regression.md

- Logistic Regression: Machine-Learning/Logistic Regression.md

- Loss Function MAE, RMSE: Machine-Learning/Loss Function MAE, RMSE.md

- Neural Networks: Machine-Learning/Neural Networks.md

- Normal Distribution: Machine-Learning/Normal Distribution.md

- Normalization Regularisation: Machine-Learning/Normalization Regularisation.md

- Overfitting, Underfitting: Machine-Learning/Overfitting, Underfitting.md

- PCA: Machine-Learning/PCA.md

- Random Forest: Machine-Learning/Random Forest.md

- Support Vector Machines: Machine-Learning/Support Vector Machines.md

- Unbalanced, Skewed data: Machine-Learning/Unbalanced, Skewed data.md

- kNN: Machine-Learning/kNN.md

- 👨🏾‍💻 Online Resources:

- Online Study Material: Online-Material/Online-Material-for-Learning.md

- Popular Blogs: Online-Material/popular-resources.md

# - 🚴🏽‍♀ As fast as possible:

# - Introduction: as-fast-as-possible/index.md

# - Neural Networks: as-fast-as-possible/Neural-Networks.md

# - Deep Natural Language Processing: as-fast-as-possible/Deep-NLP.md

# - Deep Computer Vision: as-fast-as-possible/Deep-CV.md

# - Tensorflow 2 with Keras: as-fast-as-possible/TF2-Keras.md

# - 🎌 Deploying ML Models:

# - Production Deployment: Deploying-ML-models/deploying-ml-models.md

# - 📳 Projects: projects.md

- 🤝 Contribute: Contribute.md

- Privacy Policy: privacy.md

- Contact: contact.md

# Copyright

• <a href="https://sourcestrongai.com" target="_blank">SourceStrongAI</a>

• <a href="https://choosealicense.com/licenses/agpl-3.0/" target="_blank">License</a>

• <a href="/privacy">Privacy Policy</a> • <a href="/contact">Contact</a>

datascienceinterviews.github.io/mkdocs.yml at master · datascienceinterviews/datascienceinterviews.github.io · GitHub

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