Minkun Kim
mainkoon81
“My choices make who I am.”
Languages
Loading contributions...
Top Repositories
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
With some projects to develop "TOOLs" for better Modeling
**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)
Hypothesis testing (Parametric/Non-Parametric)
Not enough samples(target variable)? A. [pdf approach]: Bootstrapping w/o predictors or B. [data func approach]: Regression with predictors ? When dealing with a categorical target variable following Bernoulli, your parameter in interest would be the proportion. Let's find out!
Theory: Data Mining + Cloud Computing Architecture
Repositories
54With some projects to develop "TOOLs" for better Modeling
daily log
An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications
Theory: Data Mining + Cloud Computing Architecture
Public DBT instance to aid in data transformation for analytics purposes
No description provided.
A collection of Jupyter notebooks for inference on Imbalance in the EU ETS: a non-parametric approach - C. Salvagnin, A. Glielmo, M.E. De Giuli, A. Mira
Methods to access data of the EU Transaction Log (EUTL) as provided under www.euets.info
study
(R) is useful for DATA TRANSFORMATION that is impossible to deal with using Tableau
A benchmark dataset for data-driven weather forecasting
Bayesian Hierarchical or Mixture? and..Bayesian Survival Analysis
No description provided.
No description provided.
No description provided.
No description provided.
(Tableau) is useful for the intuitive exploration
Seminar at University of Duisburg-Essen
Not enough samples(target variable)? A. [pdf approach]: Bootstrapping w/o predictors or B. [data func approach]: Regression with predictors ? When dealing with a categorical target variable following Bernoulli, your parameter in interest would be the proportion. Let's find out!
paper submission
**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)
paper submission
paper submission
Hypothesis testing (Parametric/Non-Parametric)
**DeepLearning** Intro.. Need to wrap up more projects here...
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
Dealing with two different datasets, using RegularExpression
Non-parametric Model
Dealing with two different datasets with the same fieldnames
No description provided.