BCE v0.4 - Practical implementation of Compression via Substring Enumeration
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Jul 4, 2017 - C++
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stationary-data
Here are 8 public repositories matching this topic...
Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.
fintech logistic-regression stationary-data analysis-algorithms arima-forecasting autoregression movingaverage
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Nov 13, 2023 - Python
Ved Stationary Ecommerce WebApp
react javascript website js jsx reactjs webapp ecommerce-platform ecommerce-application payment-integration ecommerce-website razorpay stationary-data vite stationary-management vitejs supabase ecommerce-applications supabase-js supabase-auth
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Mar 24, 2026 - JavaScript
MATLAB code for deseasonalizing hourly PV/GHI data using a ridge-regularized ELM. It extracts a phase-based seasonal component, computes stationary residuals (PACFsum), and performs a grid search on lag length and hidden units. Includes plots and tools for tuning ELM parameters in solar forecasting.
time-series forecasting stationary-data solar-energy renewable-energy extremelearningmachines deseasonalization cyclostationarity
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Sep 1, 2026 - MATLAB
time timeseries arima statsmodels stationary-data forecasting-models time-series-analysis fbprophet sarimax arima-model facebook-prophet-forecasting time-series-forecasting arima-forecasting facebook-prophet timeseries-forecasting sarima arima-models sarima-model autoregressive-models
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Sep 23, 2023 - Jupyter Notebook
My bachelor's and master's theses
stationary-data self-supervised-learning van-emde-boas-tree retrieval-augmented neurohashing neurocoding assotiative-memory metamemory o1-knn source-knowledge
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Aug 10, 2023 - TeX
This project utilizes time series forecasting models, such as VAR and ARIMAX, to predict the bike share demand in Seoul. In turn, ensuring availability and minimizing waiting times for customers.
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Jan 9, 2025 - R
Análisis y notebooks de 'Forecasting Sticker Sales'. Incluye EDA, tratamiento de NaNs y modelado para la predicción estacionaria de demanda de stickers utilizando forecast y arima.
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May 3, 2025 - Jupyter Notebook
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