Murat Koptur Data Science Blog & Projects
Under the hood: Expectation Maximization (EM)
How to estimate parameters if our data contains missing values or variables?
Oct 10, 2022
Under the hood: Maximum Likelihood Estimation (MLE)
Understand the working mechanism of one of the most used statistical methods.
Oct 1, 2022
Build Diversified Portfolio with Machine Learning: Clustering method for stock selection
How to create diversified portfolio using clustering.
Sep 18, 2022
Time Series Classification with Random Forests
How to classify time series.
Sep 17, 2022
Uncertainty Quantification with Polynomial Chaos
How to perform uncertainty quantification using polynomial chaos expansion.
Sep 13, 2022
Unsupervised Anomaly Detection with One-Class SVM
How to identify anomalies with One-Class SVM.
Sep 10, 2022
Nonlinear System Identification with NARMAX
How to identify a dynamical system from measurements.
Sep 7, 2022
Why ML models fail in production: Model Drift
How to detect whether your data changed or not.
Sep 4, 2022
Don’t Try to Forecast Everything: Predictability of Time Series
We’ll look at a few handy tools that give more information about our time series.
Sep 1, 2022
Don’t impute all missing data: Missing Data Patterns
How to handle the data with missing values?
Aug 28, 2022
Stock Return and Fundamental Clustering & Portfolio Selection
Better portfolio management & optimization with machine learning / clustering
Aug 26, 2022
Modelling the probability of earthquakes (M >= 5.0) in North Anatolian Fault Zone
Modelling distribution of days between two earthquakes occurred successively.
Aug 25, 2022
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