English | 2023 | ISBN: 978-1804611036 | 316 Pages | PDF, EPUB | 26 MB
Learn how to make the right decisions for your business with the power of Python machine learning
Key Features
- Use the power of Python machine learning to make the right business decisions
- Follow real-life use cases from the business world to contextualize your learning
- Work your way through practical recipes that will reinforce what you have learned
One of the most valuable uses of data science is in helping businesses make the right decisions. This is a complicated confluence of two disparate worlds, as well as a fiercely competitive market, so you’ll need all the guidance you can get.
Whether you’re a data scientist wanting to get a business-driven perspective, or you want the decisions in your business to be guided by the power of machine learning, The Art of Data-Driven Business Decisions will be your invaluable guide.
We start by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but we soon get into the meat of the book and look at the many and varied ways machine learning with Python can be applied to the domain of business decisions through real-world business problems that you can tackle yourself. You will gain priceless practical insights into the value that machine learning can provide to your business, as well as the technical ability to apply a wide variety of tried and tested machine learning methods.
By the end of this book, you will have learned the value of basing business decisions on data-driven methodologies, and you will have the Python skills to apply what you’ve learned in the real world.
What you will learn
- Scrape web pages for their data with Python
- Create effective dashboard with Seaborn
- Predict whether a customer will cancel a subscription to a service
- Analyze key pricing metrics with pandas
- Recommend the right products to your customers
- Determine the costs and benefits of promotions
- Segment your customers using clustering algorithms
- Use NLP and Scikit-Learn to improve digital advertisements
Resolve the captcha to access the links!