Data Science Interviews
alexeygrigorev
Data science interview questions and answers
OPENAGENTSKILL / DIRECTORY
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1–16 / 94
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 94
alexeygrigorev
Data science interview questions and answers
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
ethen8181
:earth_americas: machine learning tutorials (mainly in Python3)
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Lightning-AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
explosion
💫 Industrial-strength Natural Language Processing (NLP) in Python
wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
dair-ai
🔥Highlighting the top ML papers every week.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
fivetran
Always know what to expect from your data.