Forecasting Sales with Time Series, LightGBM & Random Forest
Learn how to build sales forecasting models using Time Series, ARIMA, SARIMA, LightGBM, Random Forest, and LSTM
3.65 (10 reviews)
3 147
students
4 hours
content
Feb 2025
last update
$13.99
regular price
What you will learn
Learn how to build sales forecasting model using ARIMA, SARIMA, LightGBM, Random Forest, and LSTM
Learn how to conduct customer segmentation analysis
Learn how to analyze sales performance trend
Learn how to evaluate forecasting model’s accuracy and performance by calculating mean absolute error and conduct residual analysis
Learn how time series forecasting model work. This section will cover data collection, preprocessing, train test split, model selection, and model training
Learn about factors that can contribute to sales performance, such as seasonal trends, market saturation and supply chain efficiency
Learn how to find and download datasets from Kaggle
Learn how to clean dataset by removing missing rows and duplicate values
Learn how to analyze order fulfilment efficiency
Learn the basic fundamentals of sales forecasting
Learn about key performance indicators in sales
Learn how to forecast sales using XGBoost
Learn how to forecast sales using Gated Recurrent Unit
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5810058
udemy ID
08/02/2024
course created date
15/02/2024
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