Code repository for the online course "Feature Engineering for Time Series Forecasting".

Forecasting Time Series with Moving Average and Exponential Smoothing

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.

BUS TICKETING AND FORECASTING SYSTEM - www.firstplato.com

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)

Solar Irradiance Forecasting Using Deep Learning Techniques

Predict stock prices using neural networks trained on historical price data.

Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.

Final Data Science group project for Henry Bootcamp. Developed data solutions for Olist, an ecommerce brazilian startup, including a Dashboard in PowerBI, a forecasting model deployed on Streamlit and a web app for remote access.

💲 🔮 Predict 3 months of item-level sales data at different store locations and optimize budgets and placements to maximize key product metrics

Random Forest algorithm to forecast the hourly power generation of PV plant over time, using time series data and multiple features.

replication code and data for missing data, speculative reading article

A project from dicoding Machine Learning Intermediate Class with data Time Series

Predicting future stock prices based on past close prices and sentiment provided by a series of tweets. A time series forecasting survey using sentiment analysis.

The day-ahead prediction of electricity production from a run-of-river hydropower plant.

Exploring forecasting for energy consumption

Time Series Forecasting In R

This Kaggle competition challenges participants to use a modified version of the POWER NASA Temperature Dataset to build forecasting models.

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.