PinnedSeouk Jun KiminTowards Data ScienceThe Effectiveness of Feed-forward Neural Networks in Trend-based Trading (1)Demonstration of the surprising effectiveness, and also the stout limitations, of using simple feed-forward neural networks in trend-based…Aug 18, 2020Aug 18, 2020
Seouk Jun KiminTowards Data ScienceRock, Paper, Scissors, and the Stock MarketRecounting my experience in the Rock, Paper, Scissors Kaggle competition, and the resemblance of the competition structure to the stock…Mar 13, 2021Mar 13, 2021
Seouk Jun KiminTowards Data ScienceDiscussing the Champion-specific Player Win-rate Factor in League of Legends Match PredictionAn informative article on the Riot API ecosystem, and a basic investigation on the champion-specific player win-rate factor in match…Dec 25, 20202Dec 25, 20202
Seouk Jun KiminTowards Data ScienceThe Suspected Ineffectiveness of Champion Class Composition in League of Legends Match PredictionDiscussing the usage of k-means clustering to classify champions and its limited impact on predicting match outcomeJun 6, 2020Jun 6, 2020
Seouk Jun KimRelation Between Book-to-Market Ratio and Returns (1992–2000)We look at three papers, each written in 1992, 1995, and 2000, to discuss the relation between book-to-market equity ratio (B/M) and…May 28, 2020May 28, 2020
Seouk Jun KimAbout Statistical Modeling: The Two CulturesDiscussing my thoughts on various academic papers.May 9, 2020May 9, 2020
Seouk Jun KiminTowards Data ScienceMatch Prediction in League of Legends Using Vanilla Deep Neural NetworkLearn about the League of Legends match prediction model that shows about 70% accuracy with its unique input features.Apr 18, 20201Apr 18, 20201