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1. Gradient-Boosting-Accuracy-Comparison-with-MLP-RF-SVM-and-GAM-with-RandomSearched-Hyperparameters Gradient-Boosting-Accuracy-Comparison-with-MLP-RF-SVM-and-GAM-with-RandomSearched-Hyperparameters Public

   With Gradient Boosting, we reached an overwhelming accuracy rate on the test set at 0.7742. (the famous HELOC dataset)

   HTML

2. Color-Genrator Color-Genrator Public

   To generate Hex Color Codes based on an adjustable color bar on iphone pythonista.

   Python 2

3. Natural-Language-Classification-based-on-Random-Forest-and-Jieba Natural-Language-Classification-based-on-Random-Forest-and-Jieba Public

   I use noun only to classify text. The code runs quite slow but it is pretty accurate. With perfect feature engineering, the test accuracy rate can be about 0.8.

   HTML 1

4. pyui pyui Public

   1. color_generator.py is a simple python User Interface that can run on pythonista terminate. 2. simple_gui.py is a simple UI that can run on PC.

   Python 1

5. SCMP_Historical_Headline_Crawler SCMP_Historical_Headline_Crawler Public

   Scrape SCMP headlines with requests and lxml (basically xpath). And users can use this function along with the my other repo to train the ML algo to classify text automatically (One Hot Encode with…

   Python 1

6. Unsupervised-Learning-to-Find-Dominant-Colors-with-Web-Scraping Unsupervised-Learning-to-Find-Dominant-Colors-with-Web-Scraping Public

   We scrape images from this website and find the dominant colors (ofc presented thru RGB code) using KMeans from sklearn.cluster.

   Jupyter Notebook 1