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孙一超/piggymetrics

Microservice Architecture with Spring Boot, Spring Cloud and Docker

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孙一超/eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

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孙一超/myTransformer_Spark

利用JPMML-Spark将Spark模型转换为pmml格式

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孙一超/flink-recommandSystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

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孙一超/BigData-Interview

:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

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孙一超/Spark

学习spark

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孙一超/gmall

实时项目（数据采集kafka传输spark处理es存储）

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孙一超/Play-with-Graph-Algorithms

Codes of my MOOC Course <Play Graph Algorithms in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转图论算法》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

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孙一超/ForestBlog

一个简单漂亮的SSM(Spring+SpringMVC+Mybatis)博客系统

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孙一超/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

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孙一超/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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孙一超/kaggle-1

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孙一超/cnn_finetune

Fine-tune CNN in Keras

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孙一超/tensorflow-vgg16-train-and-test

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

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孙一超/ensemble

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孙一超/sc1x

supply chain fundamentals from MIT EDX

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孙一超/aa_backorders-prediction-supply-chain

This repository consists of POC created for advanced analytics domain. Problem is to predict probable backorders (returned orders) on e-commerce products transactions.

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孙一超/Supply_Chain_Back_Order

The project is about predicting supply chain back order using various Machine Learning classification algorithms. This repository contains the data set, codes and project report explaining the methodology and final results.

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孙一超/SupplyChainExploration

Exploratory analysis of data describing the maritime supply chain of a department store

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孙一超/2019_campus_apply

:rocket: 备战秋招/面试，CS学习笔记/面经。金九银十，你准备好了吗？from zero to hero.