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The Great Migration to GitLab

The Great Migration to GitLab in Open Source community

We code therefore we are / June 12, 2018

GitHub / GitLab / Bitbucket are homes for developers to share their open source projects to the public for free. We have seen so many great projects there in GitHub. Like the winning data science learning model — XGB, Python’s micro web framework — Flask, Microsoft’s own light and fast learning model — LGB and the […]

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Gradient Boosting

LGB, the winning Gradient Boosting model

Learn Machine Learning / June 1, 2018

Last time, we tried the Kaggle’s TalkingData Click Fraud Detection challenge. And we used limited resources to handle a 200 million records sized dataset. Although we can make our classification with Random Forest model, we still want a better scoring result.  Inside the Click Fraud Detection challenge’s leaderboard, I find that most of the high scoring

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"Do you have a dog?" in Machine Learning

“Do you have a dog?” explained in Machine Learning

Learn Machine Learning / May 19, 2018

You have probably read the above comic in 9gag or imgur before. It is a funny joke, but on the other hand, it is also a material for our Machine Learning topic. It sounds weird? Oh yeah, sometimes knowledge comes from strange ideas.

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Kaggle Click Fraud Detection modeling

[Post-Match Analysis] Why are people frustrated on Kaggle’s Click Fraud Detection challenge?

1 Comment / Learn Machine Learning / May 9, 2018

The Story

[Post-Match Analysis] Why are people frustrated on Kaggle’s Click Fraud Detection challenge? Read More »

Click Fraud Detection

Click Fraud Detection with Machine Learning

1 Comment / Learn Machine Learning / May 4, 2018

Up to now, we have tried 3 different Kaggle journeys, the Titanic Survivors, the Iowa House Prices and the hand written digits recognition. Those journeys covered popular Machine Learning topics, such as classification, regression, deep learning, and so on. I would suggest fans of Machine Learning to start with those journeys. So we can learn

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Deploy Flask app on Raspberry Pi using Docker

Tutorial: Deploy a Flask app with Docker on Raspberry Pi

Have a pie, Raspberry Pi(e) / April 14, 2018

We have just installed Docker on our Raspberry Pi, now it is time to bring into action. Do you remember the EZW, Easy Weather Forecast Flask app? Yes, we are going to deploy this EZW flask app. Of course, we do it in the Docker way!

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Docker and Raspberry Pi

How to install Docker on Raspberry Pi

Have a pie, Raspberry Pi(e) / April 3, 2018

In this article, we will talk about Docker and Raspberry Pi. Docker is a platform you may probably hear it often recently. It is hot because it helps people simplify the DevOps process. It lets developers build light-weight applications. Then they can ship and run their applications “anywhere” (we will discuss it in later section). On the

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EZ Weather Forecast Web App in Flask

Easy Weather Forecast Flask Web App with Python

We code therefore we are / March 10, 2018

We have tried to code an Easy Weather Forecast Tool with Python. Yes, it is fast and easy, but it is just not that convenient to run anything on a command prompt. It is so…. 80s. It would be better if we can make a single-page Flask web app. Then we can run the weather

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Visualize a CNN

Visualize a Convolutional Neural Network

Learn Machine Learning / February 21, 2018

On last post, we tried our image recognition project with handwritten digits. We used a Convolutional Neural Network (CNN) to train our machine and it did pretty well with 99.47% accuracy. We learnt how a CNN works by actually implementing a model. Today, we move one step further to learn more about the CNN, let’s visualize

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Teach our machine with Convolutional Neural Network

Python Image Recognizer with Convolutional Neural Network

Learn Machine Learning / February 11, 2018

On our data science journey, we have solved classification and regression problems. What’s next? There is one popular machine learning territory we have not set feet on yet — the image recognition. But now the wait is over, in this post we are going to teach our machine to recognize images by using Convolutional Neural

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Raven Hon

Raven Hon

Raven Hon is a 20 years+ veteran in information technology industry who has worked on various projects from console, web, game, banking and mobile applications in different sized companies.

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