Forecasting Sales with Time Series, LightGBM & Random Forest-Udemy Coupon

[manocat]

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

What you'll 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

To view the content, you need to Sign In or Register.

Click to read more...