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company-frame

this is springboot-plus project

credit-card-fraud-detection-tesorflow-python-and-r

• Built 93% accurate predictive model using tensorflow deep neural networks using tensorflow and keras libraries in Python and R which predicts fraudulent transactions • Developed random forest and logistic regression models in R • Worked on credit card data set that is has appx. 285,000 records and 31 variables with PCA transformation • Used numpy, pandas, scikit learn libraries in python and ggplot, caret, reshape libraries in R

cs-notes-pdf

https://github.com/CyC2018/CS-Notes PDF版本离线阅读

enterprise-registration-data-of-chinese-mainland

**大陆 31 个省份1978 年至 2019 年一千多万工商企业注册信息，包含企业名称、注册地址、统一社会信用代码、地区、注册日期、经营范围、法人代表、注册资金、企业类型等详细资料。This repository is an dataset of over 10,000,000 enterprise registration data of 31 provinces in Chinese mainland from 1978 to 2019.【工商大数据】、【企业信息】、【enterprise registration data】。

fengkong

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

nsga2

Implementation NSGA-II algorithm in form of python library

offer_prgram

剑指offer_实现

oucml

question

testgit

text

剑指offer_牛客网实现代码

theinterviewquestions

wwq1002.github.io