FORECAST
The Forecast package focuses on the application of machine learning techniques to create reliable models for predicting future events, trends or values on historical data. This package is ideal for clients who want to improve strategies and decision-making through accurate forecasts.
from 1200 €*
*sorted to partially sorted internal data up to 20,000 rows of data and 20 features (columns)
each additional lrow and feature €2
unsorted data €100
external data €100 (per database)
SERVICES INCLUDED
Data collection and preparation
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identification of data sources and data extraction
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data cleaning and transformation
Exploratory data analysis
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data examination - understanding the structure and characteristics
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identification of key variables to be used in modeling
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data visualization - discovering potential patterns and relationships
Model selection
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choosing an appropriate statistical or machine learning model for prediction
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learning models on data
Model validation
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testing the model on an independent data set to assess its accuracy and reliability
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adjusting and optimizing the model if needed
Predicting future events
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using trained models to predict future events or values
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generating forecasts
Evaluation and interpretation of results
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analysis and interpretation of prediction results
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evaluation of model performance using metrics such as accuracy, precision, response
Report
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generates all analysis results, forecasts and interpretation
Examples of analysis within the package: regression (prediction of products prices, services, consumer behavior, forests growth), classification (prediction of customer churn),
time series (prediction of product sales over time, prediction of forest growth dynamics, impact of climate factors on forest ecosystems), recommendation systems (prediction of products or content that will be relevant to the user).