Code repository for the online course "Feature Engineering for Time Series Forecasting".
-
Updated
Dec 6, 2023 - Jupyter Notebook
Code repository for the online course "Feature Engineering for Time Series Forecasting".
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
Forecasting Time Series with Moving Average and Exponential Smoothing
Investigation of the capabilities of foundations models in the context of time series forecasting
Analysis Sales data to gain insights and create Interactive Sales Dashboard and also predict /Forecast the next sales with the use of Power-Bi.
Analyze and propose the plan to monitor and estimate business aspects
Solar Irradiance Forecasting Using Deep Learning Techniques
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
Dhaka weather forecasting model trained using API from Open-Meteo.com
Exploring forecasting for energy consumption
Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
Implementing method of Willemain et al., 2004 for forecasting intermittent demand
In this section, we will use machine learning algorithms to perform time series analysis.
data and code associated with the publication "Age structure augments the predictive power of time series for fisheries and conservation" by Tara E. Dolan, Eric P. Palkovacs, Tanya L. Rogers, and Stephan B. Munch.
💲 🔮 Predict 3 months of item-level sales data at different store locations and optimize budgets and placements to maximize key product metrics
A project from dicoding Machine Learning Intermediate Class with data Time Series
The "Cincinnati Traffic Crashes - Time Series Analysis" is a comprehensive study that employs statistical techniques to examine patterns and trends in traffic accidents over time within the Cincinnati area. This analysis aims to forecast future incidents, and assist in developing strategies to enhance road safety.
Forecasting EEG signals using Lag-Llama model
Two projects developed as part of a university course on Artificial Neural networks and Deep Learning, in particular, an image classification task, and a univariate time series forecasting task.
Add a description, image, and links to the forecasting-time-series topic page so that developers can more easily learn about it.
To associate your repository with the forecasting-time-series topic, visit your repo's landing page and select "manage topics."