Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Price: $50.00
(as of Dec 27,2024 11:10:53 UTC – Details)

Language ‏ : ‎ English
Paperback ‏ : ‎ 450 pages
ISBN-10 ‏ : ‎ 1119653908
ISBN-13 ‏ : ‎ 978-1119653905
Item Weight ‏ : ‎ 1.47 pounds

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

In today’s data-driven world, the ability to effectively analyze and predict trends is a crucial skill for data analysts. Applied predictive analytics is the practice of using statistical algorithms and machine learning techniques to predict future outcomes based on historical data.

In our post, we will explore the principles and techniques of applied predictive analytics for the professional data analyst. From understanding the basics of predictive modeling to implementing advanced algorithms, we will cover everything you need to know to excel in this field.

We will discuss the importance of feature selection, model evaluation, and data preprocessing in predictive analytics. We will also delve into popular algorithms such as linear regression, decision trees, and neural networks, and how they can be used to make accurate predictions.

Whether you are a seasoned data analyst looking to enhance your predictive modeling skills or a beginner looking to break into the field, this post will provide you with the knowledge and tools you need to succeed in applied predictive analytics. Stay tuned for more insights and tips on how to leverage data to make informed decisions and drive business success.
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