NTTP·21h agoMag7 stocks: Estimated chance of crash by end of yearA little bit of Monte Carlo modeling for all
Trade Mamba·3d agoCan Fancy Sequential Models Beat an MLP — and Can an MLP Beat CatBoost in Time Series Forecasting?Comparing MLPs, recurrent networks, Transformers, and CatBoost across six forecasting datasets.
George Oluoch·3d agoFrom Bike Rides to Better Forecasts: Building an End-to-End ML ProjectWhat does it take to turn hourly bike data into a forecast people can explore? I built a one-hour-ahead demand forecasting project — and…
SalesPoet·4d agoNext Quarter: A Sales Story — Chapter 5Saturday morning, but Dev was committed to his decision. He woke at 6am to his alarm which he nearly snoozed. He saw the gym bag by the…
InData Science CollectivebySophia Chen, PhD·4d agoBuilding a Forecasting Agent Platform, Part 3: Turning Agentic Workflows into MCP Tools and SkillsRunning Annual Forecasting and Planning in Claude CodeA response icon1A response icon1
Valerio Di Napoli·4d agoCan AI actually predict the markets?I tested 14 models as trading signals, with the checks most claims skip. Part 1 of 2
Piotr Kalanski·6d agoMulti-Horizon Demand Forecasting: Why Architecture Beats AlgorithmsHow we forecast at location × job type granularity, moved from Prophet to XGBoost, and why the hardest decisions had nothing to do with…A response icon1A response icon1
Bhargav Peddi·Oct 29Forecasting a Week of Restaurant Demand with an LSTM (and Being Honest About the Baselines)How a TensorFlow/Keras LSTM ensemble cut forecast error by 33% against a seasonal-naive baseline, and where it still struggles
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
Destisa Pangaribuan·Oct 28ARIMA vs RNN vs LSTM vs GRU: Model Mana yang Paling Akurat Memprediksi Harga Saham?Eksperimen data science menggunakan data historis saham Telkom Indonesia dan Apple untuk membandingkan model statistik dengan deep learning