Time Series Analysis and Forecasting: Use SARIMAX to Predict Customer Complaints
-
Updated
Mar 9, 2024 - Jupyter Notebook
8000
Time Series Analysis and Forecasting: Use SARIMAX to Predict Customer Complaints
A data-driven project forecasting intraday electricity prices in the GB power market using SARIMAX and XGBoost. Combines market data, demand/generation forecasts, and model explainability tools like SHAP.
My time series analysis project focuses on identifying patterns and trends in sequential data over time. It involves techniques like decomposition, forecasting, and ARIMA modeling to analyze temporal dynamics. The project aims to deliver actionable insights for data-driven decision-making.
Comparison of COVID-19 Inpact using Time Series Modelling - SARIMAX, Prophet, neural networks and XGBOOST
Personal research for bachelor's thesis performed into the SARIMA model and its components for Time Series Forecasting.
Stock Visualization Dashboard project using Streamlit, ML in Python. Price forecasting with Random Forest, Arima, Sarima and SVR.
Rice crop prediction using real time data recorded from 1961 to 2021. Time series models trained on ARIMA, SARIMA, LSTM, FbProphet algorithms. Achieved an r2_score above 90% for SARIMA, Fbprohpet models.
Climate change prediction on different States of different Countries weather data using time series analysis
Objective, to perform time series analysis and forecasting on container shipping prices for three major maritime routes: North America East Coast to China/East Asia, Europe to North America East Coast, and Europe to South America West Coast. The data used for this analysis was collected from The Baltic Exchange, a source of maritime market data.
Three projects as a freelance Data Scientist for USISA, largest canning company in Andalucia. Forecasting prediction of sales, recommendation system and clustering.
Machine learning models for forecasting time-series data.
This model predicts co2 level in atmosphere on account of historical data.
Time Series Analysis
Using SARIMA model for time seies forecasting
Forecasting model : Forecasts returns of real estate using time series analysis.
Implementation of Time Series
Batch Name: MIP-ML-11 (Machine Learning Intern)
ExcelR_Assignment---Forecasting---Assignment---18
Add a description, image, and links to the sarimax topic page so that developers can more easily learn about it.
To associate your repository with the sarimax topic, visit your repo's landing page and select "manage topics."