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xing min's Projects

30min_guides icon 30min_guides

覃健祥的学习笔记，各种几十分钟入门的文档

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

basic_model_scratch icon basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bigdata-2018w icon bigdata-2018w

CS 451/651 431/631 Data-Intensive Distribute Computing (Winter 2018) at the University of Waterloo

chatterbot icon chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

corenlp icon corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cv icon cv

Print-friendly, minimalist CV page

datascicomp icon datascicomp

A collection of popular Data Science Challenges/Competitions & Countdown timers to keep track of the entry deadlines.

datascienceportfolio icon datascienceportfolio

Portfolio of data science projects I've completed for academic , self-learning, and hobby purposes

deeplearning-500-questions icon 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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

ds-take-home icon ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

dxy-covid-19-data icon dxy-covid-19-data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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