InThe Quantastic JournalbyNahid Ahmadvand·1d agoForecasting 48 Hours Ahead: How Much Complexity Was Worth It?An investigation of hourly ad views, the value of seasonal structure, and what a favorable accuracy ranking left unresolved.A response icon1A response icon1
Jessica Roberta Maharga Saragih·Oct 29Memprediksi Harga Saham: Apakah Model yang Lebih Canggih Selalu Lebih Baik?Membandingkan ARIMA, RNN, LSTM, dan GRU pada Saham PT Timah Tbk dan Microsoft
Fabio Lauria·Sep 7ARIMA Models Explained: A Practical Guide to ForecastingARIMA is a statistical forecasting method that combines autoregression, differencing, and moving average into a single model written…
Aayush Jaiswal·Jun 24Journey of Forecasting Models (ARIMA -> RNN → WaveNet -> Decoders / TransformersWe have a well-known ARIMA (Auto regressive integrated moving average) Model Family that was introduced in 1970. Through out time there are…
R_Talks·Jun 7The ARIMA Family 101: A Data Scientist’s Guide to Autoregressive Sequence Modeling and Production…“To understand where you are going, you must first understand where you have been. In the ARIMA family, the past is not just context — it…
Tanish gupta·May 17Time Series AnalysisIntroduction: In today’s digital world, huge amounts of data are generated every second. Many industries such as finance, healthcare…
NeuralLearn·May 12ARIMA — Manual Calculations ExplainedEver felt like time-series forecasting is a bit of a “black box”? You feed data into a model, and out pops a prediction for the next month…
Abhishek Jain·Mar 13Time Series 10 — ARIMA (Auto Regressive Integrated Moving Average) & ARIMAX (ARIMA with Exogenous…When working with time series data, one common challenge is that many real-world datasets are not stationary. They may contain trends…
Artheta Bimo Nuswantoro·Jan 12Supply Chain Analytics: Detecting Defective Suppliers and Costly Routes with RA case study on reducing shipping costs and improving manufacturing quality through Linear Regression and K-Means Clustering.
