使用时间序列、Lightgbm 和随机森林预测销售额
Forecasting Sales With Time Series, Lightgbm and Random Forest
- 1 - Introduction to the Course
- 2 - Table of Contents
- 3 - Whom This Course is Intended for
- 4 - Tools IDE and Datasets
- 5 - Introduction to Sales Forecasting
- 6 - How Time Series Forecasting Model Works
- 7 - Factors That Can Contribute to Sales Performance
- 8 - Setting Up Google Colab IDE
- 9 - Finding Downloading Sales Report Dataset From Kaggle
- 10 - Uploading Sales Report Dataset to Google Colab
- 11 - Quick Overview of Sales Report Dataset
- 12 - Cleaning Dataset by Removing Missing Values Duplicates
- 13 - Customer Segmentation Analysis
- 14 - Analyzing Order Fulfilment Efficiency
- 15 - Analyzing Sales Performance Trend
- 16 - Forecasting Sales with ARIMA
- 17 - Forecasting Sales with SARIMA
- 18 - Forecasting Sales with LightGBM
- 19 - Forecasting Sales with Random Forest
- 20 - Forecasting Sales with LSTM
- 21 - Calculating Mean Absolute Error Conducting Residual Analysis
- 22 - Conclusion Summary