You will get Time Series Forecast by Machine Learning and Statistical Models Tool
You will get Time Series Forecast by Machine Learning and Statistical Models Tool
Project details
I have 12 years of supply and demand planning and forecasting experience. I am also a data scientist. Combining both, I have built a time series forecasting tool for multi-product history. This tool uses Python, scikit-learn, sktime and streamlit to find best-fitting model with highest accuracy and applies that model to all SKUs to generate future forecast. Below is short product description for you:
"Generate forecasts for multiple products with statistical and machine learning algorithms.
Statistical Models: Naive, Theta, Exponential Smoothing and TBATS models
Machine Learning Models: Linear Regression, K-Nearest Neighbors, Random Foreast, Gradient Boosting, Extreme Gradient Boosting, Support Vector Machines, Extra Trees
"Generate forecasts for multiple products with statistical and machine learning algorithms.
Statistical Models: Naive, Theta, Exponential Smoothing and TBATS models
Machine Learning Models: Linear Regression, K-Nearest Neighbors, Random Foreast, Gradient Boosting, Extreme Gradient Boosting, Support Vector Machines, Extra Trees
Machine Learning Tools
Microsoft Excel, Python, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 2 days |
Number of Revisions | 1 | 2 | 2 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Ulas
Business Analytics Lead
Istanbul, Turkey - 8:16 am local time
Steps for completing your project
After purchasing the project, send requirements so Ulas can start the project.
Delivery time starts when Ulas receives requirements from you.
Ulas works on your project following the steps below.
Revisions may occur after the delivery date.
Data sharing
In an excel or csv , time series data is shared by the customer. After generating future forecast based on past data output with test series accuracy is sent to the customer