scikit-learn Cookbook: Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation
4.2
Reviews from our users
You Can Ask your questions from this book's AI after Login
Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.Related Refrences:
Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across. The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
Free Direct Download
You Can Download this book after Login
Accessing books through legal platforms and public libraries not only supports the rights of authors and publishers but also contributes to the sustainability of reading culture. Before downloading, please take a moment to consider these options.
Find this book on other platforms:
WorldCat helps you find books in libraries worldwide.
See ratings, reviews, and discussions on Goodreads.
Find and buy rare or used books on AbeBooks.
1021
بازدید4.2
امتیاز0
نظر98%
رضایتReviews:
4.2
Based on 0 users review
Questions & Answers
Ask questions about this book or help others by answering
Please login to ask a question
No questions yet. Be the first to ask!