Kelly SzutuinArtificial Intelligence in Plain EnglishEnsemble Methods in Multiple Classifier System- Bagging, Boosting and StackingEnsemble methods reduce total error and improve the performance by combining the prediction made by multiple models…5 min read·Apr 29, 2020----
Kelly SzutuinDataDrivenInvestorThings Behind the Decision Tree Method- Algorithm, Model Building and IssuesDecision Tree is a supervised learning method that uses a tree-like model for classification and regression…5 min read·Apr 27, 2020----
Kelly SzutuDimension Reduction- Feature Selection and Feature ExtractionFeature selection and feature extraction reduce dimension by selecting key variables . What are the similarities and different between…3 min read·Apr 22, 2020----
Kelly SzutuinAnalytics VidhyaFeature Extraction and Brand Perceptual Map Using PCA in RWhat is PCA? A procedure that converts a set of possibly correlated variables into a set of linearly uncorrelated principal components…4 min read·Apr 20, 2020----
Kelly SzutuinAnalytics VidhyaFeature Extraction Using Factor Analysis in RWhat is Feature Extraction? A process to reduce the number of features in a dataset by creating new features from the existing ones…5 min read·Apr 15, 2020----
Kelly SzutuinAnalytics VidhyaFeature Selection Using Wrapper Methods in RWhat is Feature Selection? A process to filter irrelevant or redundant features from the dataset…4 min read·Apr 13, 2020----
Kelly SzutuinAnalytics Vidhya3 Simple Steps to Merge a Large Number of Files using PythonAfter data extraction, we usually need to merge those files together for further analysis. It can be several files, but it can also be…2 min read·Apr 10, 2020--1--1
Kelly Szutu[Study] MSBA Comprehension Exam ReviewNotes for the exam that cover all the courses I take in MSBA program7 min read·Apr 10, 2020----
Kelly Szutu6 Methods for Data VisualizationAs a data journalist, a storyteller, or even a data analyst, teaching yourself Python, R, Tableau or Power BI could be…4 min read·Apr 6, 2020----