azuracai's starred repositories

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

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mleap

MLeap: Deploy ML Pipelines to Production

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awesome-Python-data-science-books

Probably the best curated list of data science books in Python

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Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

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causalml

Uplift modeling and causal inference with machine learning algorithms

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

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hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

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DS-Career-Resources

Compilation of resources for aspiring data scientists

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data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

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git-tips

:trollface:Git的奇技淫巧

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ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

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featuretools

An open source python library for automated feature engineering

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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leetcode

Python & JAVA Solutions for Leetcode

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MLInActionCode

《机器学习实践》源码和《机器学习-算法原理与编程实践》源码以及学习心得

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Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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