📘 New Release from Deepsim Press
We are pleased to announce the publication of:
Advanced Data Modeling and Forecasting with Python
Time Series, Advanced Modeling, and Real-World Systems
This book extends machine learning and forecasting into more realistic and production-oriented environments, focusing on the transition from standalone models to integrated data science systems.
Topics include:
• Time series analysis and forecasting
• Clustering and representation learning
• Hybrid and ensemble modeling
• Imbalanced and complex data
• Model deployment and monitoring
• Real-world business and financial applications
Rather than treating techniques in isolation, the book emphasizes how advanced workflows, evaluation strategies, and deployment systems work together in practice.
Part of the Practical Data Science with Python series.
