I will analyze and forecast your time series data in python
About this Gig
Do you have sales, demand, financial, production, website traffic, or other time-dependent data and need a reliable forecast?
I will analyze your time series data in Python and build a forecasting solution with clear evaluation metrics and visualizations.
### What I can do
* Clean and prepare time series data
* Analyze trends and seasonality
* Test stationarity
* Build naive and statistical baselines
* Develop ARIMA and SARIMAX forecasting models
* Compare model performance
* Calculate MAE, RMSE, and MAPE
* Perform residual diagnostics
* Generate future forecasts
* Create clear forecast and diagnostic plots
* Provide clean Python/Jupyter Notebook code
### Tools
Python, pandas, NumPy, statsmodels, scikit-learn, matplotlib
### What you will receive
Depending on the selected package:
* Clean and reproducible Python code
* Forecast visualizations
* Model evaluation metrics
* Actual vs predicted comparison
* Future forecasts
* Model diagnostics
* A concise explanation of the results
I focus not only on fitting a model, but also on checking whether it actually performs better than simple forecasting baselines.
Please contact me before ordering if you
Expertise:
Predictive analysis
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
MLflow
•
SimpleCV

