Pinned Repositories
10-steps-to-become-a-data-scientist
In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
any-captcha
generate any type of captcha with one config. 一套配置，一行代码，快速生成任意风格验证码。
blog
backup for blogs
CS-Notes
😋 技术面试必备基础知识
dataStructureWithPyhton
DeepLearning
docker-hive
gitment-comments
ToOffer
wangkk1996.github.io
WangKK1996's Repositories
WangKK1996/10-steps-to-become-a-data-scientist
In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
WangKK1996/any-captcha
generate any type of captcha with one config. 一套配置，一行代码，快速生成任意风格验证码。
WangKK1996/blog
backup for blogs
WangKK1996/CS-Notes
😋 技术面试必备基础知识
WangKK1996/dataStructureWithPyhton
WangKK1996/DeepLearning
WangKK1996/docker-hive
WangKK1996/gitment-comments
WangKK1996/ToOffer
WangKK1996/wangkk1996.github.io
WangKK1996/i-Code
WangKK1996/LARK
LAnguage Representations Kit
WangKK1996/machine-learning
WangKK1996/MathModel
研究生数学建模，数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
WangKK1996/Metis
Metis is a learnware platform in the field of AIOps.
WangKK1996/pix2pix
Image-to-image translation with conditional adversarial nets
WangKK1996/reading_notes_wk
MLLM, APP navigation等论文阅读笔记
WangKK1996/README
README文件语法解读，即Github Flavored Markdown语法介绍
WangKK1996/statistic-learning
WangKK1996/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
WangKK1996/the-history-of-rock
notes of 《history of rock》, from https://www.coursera.org/learn/history-of-rock/lecture/hvhXf/the-rise-of-nashville
WangKK1996/Titanic
WangKK1996/WordsMining
基于信息熵的新词挖掘