Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment

• Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects
• Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations
• Learn to deploy a predictive model's results as an interactive application

• Get to grips with the main concepts and principles of predictive analytics
• Learn about the stages involved in producing complete predictive analytics solutions
• Understand how to define a problem, propose a solution, and prepare a dataset
• Use visualizations to explore relationships and gain insights into the dataset
• Learn to build regression and classification models using scikit-learn
• Use Keras to build powerful neural network models that produce accurate predictions
• Learn to serve a model s predictions as a web application

This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.