Irina (Xinli) Yu, Ph.D.Tackling Multicollinearity: Strategies for Building Robust Regression ModelsMulticollinearity is a common problem in regression analysis that can significantly affect the reliability and interpretability of your…Jul 19Jul 19
Irina (Xinli) Yu, Ph.D.Cautions using R-Squared: For Robust Statistical AnalysisR-squared, also known as the coefficient of determination, is a staple in the toolkit of anyone working with regression models. It…Jul 16Jul 16
Irina (Xinli) Yu, Ph.D.Creating Evaluation Metrics from Scratch: Tackling Common Interview Questions on NDCG and AUC-ROCIn the world of machine learning, evaluating the performance of models is critical to understanding their effectiveness. While many metrics…Jul 9Jul 9
Irina (Xinli) Yu, Ph.D.Understanding Common Evaluation Metrics in Machine LearningIn the ever-evolving field of machine learning, evaluating the performance of models is crucial to ensuring their effectiveness and…Jul 9Jul 9
Irina (Xinli) Yu, Ph.D.Forecastin Sunspot Activity with AutoGluon AutoML in Python: A Step-by-Step GuideIntroductionJul 3Jul 3
Irina (Xinli) Yu, Ph.D.Understanding the Central Limit Theorem: A Key Concept in StatisticsThe Central Limit Theorem (CLT) is one of the most fundamental and widely-used principles in statistics. It underpins many statistical…Jul 3Jul 3
Irina (Xinli) Yu, Ph.D.Understanding P-Values: What They Are and How to Interpret ThemIn the realm of statistics and data science, p-values are a fundamental concept used to determine the significance of results. Despite…Jul 3Jul 3
Irina (Xinli) Yu, Ph.D.Tips for Improving Model Performance in Machine LearningBuilding a high-performing machine learning model is a blend of art and science. It involves understanding the data, choosing the right…Jul 2Jul 2
Irina (Xinli) Yu, Ph.D.6 Essential Feature Engineering Techniques for Enhancing Time Series Data (Using Python)Feature engineering is a crucial step in the data preprocessing pipeline, especially for time series data. It involves transforming raw…Jul 2Jul 2
Irina (Xinli) Yu, Ph.D.Outlier Detection Techniques: Identifying Anomalies in Your DataOutlier detection is a critical aspect of data preprocessing and analysis in data science. Outliers can significantly impact the results of…Jul 21Jul 21