Python Machine Learning Case Studies

Applies a case study-based approach to machine learning

Gives you insights into the core concepts of machine learning and optimization techniques

Uses Python as an aid to implement machine learning

Applies a case study-based approach to machine learning Gives you insights into the core concepts of machine learning and optimization techniques Uses Python as an aid to implement machine learning

Autorentext
Danish Haroon currently leads the Data Sciences team at Market IQ Inc, a patented predictive analytics platform focused on providing actionable, real-time intelligence, culled from sentiment inflection points. He received his MBA from Karachi School for Business and Leadership, having served corporate clients and their data analytics requirements. Most recently, he led the data commercialization team at PredictifyME, a startup focused on providing predictive analytics for demand planning and real estate markets in the US market. His current research focuses on the amalgam of data sciences for improved customer experiences (CX).

Zusammenfassung
Applies a case study-based approach to machine learning

Gives you insights into the core concepts of machine learning and optimization techniques
Uses Python as an aid to implement machine learning

Inhalt
Chapter 1: Statistics and Probability.- Chapter 2: Regression.- Chapter 3: Time series models.- Chapter 4: Classification and Clustering.- Chapter 5: Ensemble methods.