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Answers to 120 commonly asked data science interview questions.
resources about federated learning and privacy in machine learning
Big Data for Data Engineers Coursera Specialization from Yandex
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
UCSD Big Data Specialization General Materials and my Capstone Project.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Cracking the Coding Interview 6th Ed. Python Solutions
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Home assignments for data science positions
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Machine learning datasets used in tutorials on MachineLearningMastery.com
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Notebooks for learning deep learning
Docker and Docker compose for developers.
Compilation of resources and insights that helped me on my journey to data scientist
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A JIRA Bot that can train a machine learning model and comment related JIRA IDs on a list of JIRA issues.
Official Kaggle API
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
Public repo for DeepLearning.AI MLEP Specialization
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
The Numenta Anomaly Benchmark
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
The "Python Machine Learning (1st edition)" book code repository and info resource
Expose a Top2Vec model with a REST API.
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.