Source code for the coastal inundation forecast demonstration project for Fiji
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Updated
May 17, 2017 - Shell
Source code for the coastal inundation forecast demonstration project for Fiji
Machine Learning applied to sales forecast
Time Series Forecast of traffic on JetRail
The purpose of our project is to propose an uncertainty model for stock price forecasting under non-normality. The data used for this analysis is from the Shanghai and Shenzhen stock exchanges.
Data science projects
The problems here are from the book 'Forecasting: Principles and Practice(2nd ed.)' by Rob J Hyndman and George Athanasopoulos, Monash University, Australia.
Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.
The goal of this project is to investigate whether intra-day data can improve the performance of LSTM models in daily time series forecasting tasks.
💲 🔮 Predict 3 months of item-level sales data at different store locations and optimize budgets and placements to maximize key product metrics
Used Excel to analyze financial performance data of 500+ companies on the NYSE. Based on my findings, I created Profit/Loss Statements and Financial Forecasting Models using multiple scenarios
Forecasting the gas price trend and finding the best machine learning model to make the future prediction.
This repository contains code for the final project for the course "Data Science, Prediction, and Forecasting" at Aarhus University in Denmark, a course at a degree in MSc of Cognitive Science.
Theta methods for time series forcasting
Forest the unit sales of Walmart retail goods for the next 28 days
Mini project done as a part of TCS iON remote mentored internship.
Automatic Time Series Forecasting and Ensembling via Meta-learning
We fit several prediction curves for COVID-19 spread
A multivariate time series forecasting of pollution data using ARIMA, LM & ARIMAX in R
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