Machine Learning

Sales Forecasting

Built a time series forecasting solution combining Facebook Prophet and XGBoost to predict future sales. Handled seasonality, trends, and holiday effects. Achieved 88% forecast accuracy on test data.

Model Accuracy

88%

Model Type

Prophet + XGBoost

Category

Machine Learning

Tech Stack

4 Tools

Key Features

  • Time series decomposition
  • Seasonality and trend analysis
  • Facebook Prophet integration
  • XGBoost for residual modeling
  • Holiday effects handling

Technologies

PythonProphetXGBoostPandas

Performance Metrics

Accuracy

88

MAE

12

RMSE

15

MAPE

8

Feature Importance

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