ArimaCreating Synthetic Populations Using Large Language ModelsAt a recent conference, someone asked me what I do for work. I explained that I’m a data scientist and the founder of a company called…15h ago
JL MarechauxinTowards Data ScienceBeyond the Hype: When Generative AI Isn’t Always the AnswerWhy predictive AI might still be your best betOct 114
Allan OukoCustomer Churn Prediction Using Machine LearningCustomer churn prediction overviewMay 21May 21
Sanjay NandakumarinTowards AIPredicting the 2024 U.S. Presidential Election Winner Using Machine LearningExploring ML Techniques to Forecast Election Outcomes with Data-Driven Insights2d ago2d ago
Shenggang LiinTowards AIOptimizing Supply Chain with Time Series Forecasting: A Customer-Centric ApproachUsing the Repurchase Predictive Model for Product Demand ForecastingSep 204Sep 204
ArimaCreating Synthetic Populations Using Large Language ModelsAt a recent conference, someone asked me what I do for work. I explained that I’m a data scientist and the founder of a company called…15h ago
JL MarechauxinTowards Data ScienceBeyond the Hype: When Generative AI Isn’t Always the AnswerWhy predictive AI might still be your best betOct 114
Sanjay NandakumarinTowards AIPredicting the 2024 U.S. Presidential Election Winner Using Machine LearningExploring ML Techniques to Forecast Election Outcomes with Data-Driven Insights2d ago
Shenggang LiinTowards AIOptimizing Supply Chain with Time Series Forecasting: A Customer-Centric ApproachUsing the Repurchase Predictive Model for Product Demand ForecastingSep 204
Muhammad DanishinWrite your thoughtsImpact on fraud detection and prevention from Data ScienceFraud detection is the basic exercise presently going on in the digital economy. Millions of transactions take place every second, and…4d ago2
Rita AngelouRandom Forest Regression in Python — How to use it in a Predictive AnalysisWhat is Predictive Analysis?1d ago
Andrew W. PearsoninStartup StashThe Fantastic Four of Analytics — What they are and how to use them“It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to…Sep 20, 20233