Zekun Blog

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Darknet to Keras - Model Transformation

New version based on TensorFlow 2.0

While working on the mask detection project recently, I tried to convert a Darknet model into a Keras model. In other words, I needed to convert the .cfg file and the .weights file into a .h5 file....

How to Get Information from an IP Address?

Note - geoip2 module introduction

The process of getting IP address information is based on GeoIP2 Databases. I used the MaxMind GeoIP2 Python API for IP information queries. The GitHub page for the API is GeoIP2-python. You need ...

COVID-19 Data Exploration (WIP)

Exploration and visualization of COVID-19-related data

Note: The content of this article is based on data collected by the project team of Professor Ziqi Chen, School of Mathematics and Statistics, Central South University (China). The data used for th...

LAPOP Data Dashboard

A dashboard prototype built with Shiny R

This project is a data visualization dashboard designed to help non-professional users explore the Latin American Public Opinion Project (LAPOP). Due to copyright issues and confidentiality agreem...

Cashbox Magazine Song Chart Analysis

A simple example of a data analysis pipeline

This article introduces the full picture of a data analysis pipeline by showing simple data import, feature engineering, and exploratory data analysis processes. The data used here is relatively ...

Think Strategically and Get Jobs - H1B Visa Analysis

Helping international data science students strategize their job search

H1B The H1B visa is a non-immigrant visa that allows companies in the US to hire graduate-level workers in specialty occupations that require theoretical or technical expertise in specialized fie...

As data scientists, what should we do?

Data science application analysis, using product launch processes as an example

Slides Summary Three major parts of data science work: Use EXPLORATION to turn the unknown into the known. Use INFERENCE to help find something new from the old. Use PREDICTION to make be...

Power and Sample Size Calculations for Correlational Studies

Probability and Statistical Inference - 10

A common research objective is to demonstrate that two measurements are highly correlated. One measurement, call it A, may reflect the severity of disease but is difficult or costly to collect. Ano...

Central Limit Theorem - Approximation

Probability and Statistical Inference - 09

Import the packages first. library(magrittr) library(sn) Situation Description The central limit theorem is an important computational shortcut for generating and making inferences from the samp...

What makes a trending video?

An analysis of trending YouTube videos

Slides Introduction YouTube is one of the biggest media platforms of the 21st century. 5 Billion videos are watched daily. 500 Hours of videos are uploaded every minute. 51% of users say that...