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…13 min read·Aug 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…12 min read·Mar 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…8 min read·Dec 25, 2020--2--2
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 outcome7 min read·Jun 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…6 min read·May 28, 2020----
Seouk Jun KimAbout Statistical Modeling: The Two CulturesDiscussing my thoughts on various academic papers.4 min read·May 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.9 min read·Apr 18, 2020--1--1