muhaochen-2021/chicago_business_intelligenc_python_jupyter_local

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muhaochen-2021/chicago_business_intelligenc_python_jupyter_local

muhaochen-2021

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-Star2-Multi-Factor-Selection-Mode

Apply machine learning algorithms in the financial market. Ensemble Model, including XGBoost, LightGBM, CNN, ResNet and LSTM.

Jupyter Notebook

22_07_05_Tinghua_Rust_OS_Log

Learning Records of Tinghua Rust and OS

database_c

establish database based on c language

chicago_business_intelligenc_go_example_google_cloud

chicago_business_intelligenc_python_google_cloud

22_06_07_Exp_Algorithm_Machine_Learning

Some algorithms about machine learning

Jupyter Notebook

chicago_business_intelligenc_docker

-Star1-CS542_socket_ICMP

In this project, we created an application program to implement a PING command by sending and receiving ICMP messages by using Row Socket in python. We accomplished the requirements of sender sends out 2 ICMP requests constantly with the length of 256 bytes (data portion/payload), the receiver sends back replies and print the requests it receives from the sender to a .txt file and when the sender receives replies, it prints the reply messages on the screen and in a .txt file as well.

-Star2-Amazon-Best-Sale-Intelligent-Monitoring-Docker-Edition

# Amazon Best Sale Intelligent Monitoring (Docker Edition) Amazon Best Sale Intelligent Monitoring is a back-end program based on Flask, using python, html+css+js, echarts, LSTM, wordcloud, which is deployed on Docker. This Program can grasp the real-time data each hour,including the name, sale, price, score and comments of best sale products from the amazon, and generating the visulization of the tendency of products. Saler can make intelligent marketing strategy.