[The 11th Teddy Cup Data Mining Challenge in 2023] Question A: Analysis of COVID-19 Epidemic Prevention and Control Data 32-page and 40-page papers and implementation code - Code World

[The 11th Teddy Cup Data Mining Challenge in 2023] Question A: Analysis of COVID-19 Epidemic Prevention and Control Data 32-page and 40-page papers and implementation code

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[The 11th Teddy Cup Data Mining Challenge in 2023] Question A: Analysis of COVID-19 Epidemic Prevention and Control Data 32-page and 40-page papers and implementation code

[The 11th Teddy Cup Data Mining Challenge] Question A: Analysis ideas + codes for COVID-19 epidemic prevention and control data (continuously updated)

[The 11th Teddy Cup Data Mining Challenge in 2023] Topic B: Data Analysis and Demand Forecasting of Product Orders 23-page paper and implementation code

Announcement of the results of the 11th "Teddy Cup" Data Mining Challenge

[The 10th "Teddy Cup" Data Mining Challenge] Question C: The second plan and Python implementation of the problem of map analysis of surrounding travel demand under the background of the epidemic

[The 10th "Teddy Cup" Data Mining Challenge] Question C: Three Schemes and Python Implementation of Graph Analysis Problems for Surrounding Travel Demand under the Background of the Epidemic

[The 11th Teddy Cup Data Mining Challenge in 2023] Question C: Construction modeling of two-way recommendation system for recruitment and job hunting on Teddy’s internal promotion platform and detailed explanation of python code Question 3

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Epidemic prevention and control cannot be slack, and data mining is used to predict population density in key areas

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An article takes you to reveal how the epidemic prevention and control data was obtained (python article)

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