Step-by-step tutorials and comprehensive guides to master AIMU
Learn the basics of AIMU by creating your first machine learning model from data import to predictions.
Complete setup guide covering installation, configuration, and your first project workspace.
Master feature engineering, handling missing data, and data transformation for optimal model performance.
Learn how to import various data formats and perform exploratory data analysis in AIMU.
Comprehensive guide to creating CNN, LSTM, and GRU models for various applications.
Learn to implement and tune Random Forest, SVM, and other classical machine learning algorithms.
Master AIMU's geospatial capabilities including multi-raster sampling and spatial correlation analysis.
Learn to use AIMU's automated tuning capabilities for optimal model performance.
Complete guide to deploying models in production environments with monitoring and maintenance.
Identify and resolve common problems in AIMU projects with practical solutions.