Published inArtificial 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…Apr 29, 2020Apr 29, 2020
Published inDataDrivenInvestorThings 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…Apr 27, 2020Apr 27, 2020
Dimension Reduction- Feature Selection and Feature ExtractionFeature selection and feature extraction reduce dimension by selecting key variables . What are the similarities and different between…Apr 22, 2020Apr 22, 2020
Published inAnalytics 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…Apr 20, 2020Apr 20, 2020
Published inAnalytics 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…Apr 15, 2020Apr 15, 2020
Published inAnalytics VidhyaFeature Selection Using Wrapper Methods in RWhat is Feature Selection? A process to filter irrelevant or redundant features from the dataset…Apr 13, 2020Apr 13, 2020
Published inAnalytics 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…Apr 10, 20201Apr 10, 20201
[Study] MSBA Comprehension Exam ReviewNotes for the exam that cover all the courses I take in MSBA programApr 10, 2020Apr 10, 2020
6 Methods for Data VisualizationAs a data journalist, a storyteller, or even a data analyst, teaching yourself Python, R, Tableau or Power BI could be…Apr 6, 2020Apr 6, 2020