Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources.
Python Machine Learning Case StudiesΒ takes you through the steps to improve business processes and determine the pivotal points that frame strategies. Youβll see machine learning techniques that you can use to support your products and services. Moreover youβll learn the pros and cons of each of the machine learning conceptsΒ to help you decide which one best suits your needs.
By taking a step-by-step approach to coding in Python youβll be able to understand
the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems.
What You Will Learn
- Gain insights into machine learning conceptsΒ
- Work on real-world applications of machine learning
- Learn concepts of model selection and optimization
- Get a hands-on overview of Python from a machine learning point of view
Who This Book Is For
Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.