Diego UsaiinThe StartupEstimate multiple propensity models and compare their performance using a model-agnostic…An application of machine learning interpretability and model selection with h2o and DALEXMay 15, 2020May 15, 2020
Diego UsaiinDataDrivenInvestorOptimise Profit With the Expected Value FrameworkOr how important it is NOT to stick with the default threshold @ Max F1May 15, 2020May 15, 2020
Diego UsaiinAnalytics VidhyaSegmenting with Mixed Type Data — A Case Study Using K-Medoids on Subscription DataWith the new year, I started to look for new employment opportunities and even managed to land a handful of final stage interviews before…May 12, 2020May 12, 2020
Diego UsaiinTowards Data ScienceUsing h2o and DALEX to Estimate the Likelihood to Purchase a Financial ProductHow to estimate and compare multiple propensity models and choose the best one to perform a profit optimisationMay 2, 2020May 2, 2020
Diego UsaiinTowards Data ScienceTime Series Machine Learning Analysis and Demand Forecasting with H2O & TSstudioHow I used machine learning to implement a time series forecast of weekly revenueDec 11, 2019Dec 11, 2019
Diego UsaiHow I Used Hugo and blogdown to Set Up My Own WebsiteWork with RStudio, GitHub and Netlify to create and deploy your own webpageNov 11, 20191Nov 11, 20191
Diego UsaiinTowards Data SciencePractical Steps and Considerations to Successfully Profile your Customer BaseHow to run an effective statistical segmentation with K-means Clustering, Principal Components Analysis and Bootstrap Cluster Evaluation…Oct 3, 20191Oct 3, 20191
Diego UsaiinTowards Data ScienceModelling with Tidymodels and ParsnipA Tidy Approach to a Classification ProblemJun 29, 20193Jun 29, 20193
Diego UsaiinTowards Data ScienceA gentle Introduction to Customer SegmentationUsing K-Means Clustering to Understand Marketing ResponseMay 29, 20191May 29, 20191
Diego UsaiinTowards Data ScienceA R Shiny Product Recommender with Improved Collaborative FilteringMy take on Market Basket Analysis — Part 3 of 3Apr 17, 20192Apr 17, 20192