Overview:
This course is designed for data scientists, AI developers, and enthusiasts who want to build hands-on projects using Python and machine learning techniques. The course covers a range of practical applications, from basic Python projects to advanced machine learning workflows, including time series analysis, NLP, and optimization.
By the end of this course, you will be able to build foundational applications, develop ML models for prediction and analysis, and apply advanced techniques like forecasting, anomaly detection, and enterprise AI optimization.
What you’ll learn:
- Develop foundational and functional Python applications.
- Build personal and financial utility projects.
- Apply machine learning techniques for classification, clustering, and prediction.
- Work with advanced ML techniques, including optimization and CRUD operations.
- Conduct time series forecasting and anomaly detection.
- Implement NLP, simulation, and enterprise-level AI models.
