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🔥 Hot Articles 🔥
Comprehensive Guide on Principal Component Analysis (PCA)
schedule Jul 2, 2021
Last updated local_offer Machine Learning ● Python
Tags PCA is a popular dimensionality reduction technique that projects data points into lower dimensions while minimizing information loss.
Comprehensive Guide on Feature Scaling
schedule Jul 2, 2021
Last updated local_offer Machine Learning ● Python
Tags Feature scaling is an important preprocessing step in machine learning that can help increase accuracy and training speed.
Comprehensive Guide on Confusion Matrix
schedule Jul 10, 2021
Last updated local_offer Machine Learning ● Python
Tags A confusion matrix is a simple table used to summarise the performance of a classification algorithm.
Comprehensive Guide on ROC Curves
schedule Jul 9, 2021
Last updated local_offer Machine Learning ● Python
Tags The ROC (Receiver Operating Characteristic) curve is a way to visualise the performance of a binary classifier.
Comprehensive Guide on Cross Validation
schedule Jul 18, 2021
Last updated local_offer Machine Learning ● Python
Tags Cross validation is a technique to measure the performance of a model through resampling.
Explore more articles> Meet the team
Graduated from The University of Tokyo, and now doing a Masters in Data Science @ HKU. I'm mainly in charge of the tech-side of SkyTowner, and I love writing articles about data science!
Graduated from The University of Tokyo, and now working in the finance industry. I consider myself a citizen developer and write about topics as they come!
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Graduated from The Hong Kong University of Science and Technology, and now brushing up my programming skills. I enjoy documenting my learning process on SkyTowner!
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