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Interactive data analysis tool with machine learning, visualization, and decision tree capabilities
A next-generation curated knowledge sharing platform for data scientists and other technical professionals.
A curated list of data science interview questions and answers for developers.
A data analysis platform built with Python and Jupyter Notebook for vibe coders
CSPostgraduate 408 provides resources and materials for computer science postgraduate students, including exam papers and true questions.
Automatically visualize your pandas dataframes with a single print command, enabling quick EDA.
A machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
A comprehensive guide to start and improve in machine learning and AI, covering the latest techniques and tools.
SynapseML is a simple and distributed machine learning library for building and deploying AI models at scale.
This repository provides a collection of classic computer science books for developers.
A comprehensive collection of free resources for learning and practicing data science, including AI and ML tools.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
A high-performance machine learning library for CUDA-enabled GPUs, accelerating data science workflows.
A Python library of extension and helper modules for data analysis and machine learning.
A curated list of awesome MLOps tools to help developers build, deploy, and monitor machine learning models
An AI-powered data science team of agents to help developers perform common data science tasks 10x faster.
R for data science: a book for learning the R programming language for data analysis and visualization.
Comprehensive machine learning repository with 30+ notebooks covering various ML concepts and techniques.
A one-page, two-asymmetric-column resume template in LaTeX for computer science students.
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