Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.
Key Features
Build your first machine learning model using scikit-learn
Train supervised and unsupervised models using popular techniques such as classification, regression and clustering
Understand how scikit-learn can be applied to different types of machine learning problems
Book Description
Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides.
This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your machine learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models. You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models.
Finally, you will learn about an effective pipeline to help you build a machine learning project from scratch. By the end of this book, you will be confident in building your own machine learning models for accurate predictions.
Learn how to work with all scikit-learn's machine learning algorithms
Install and set up scikit-learn to build your first machine learning model
Employ Unsupervised Machine Learning Algorithms to cluster unlabelled data into groups
Perform classification and regression machine learning
Use an effective pipeline to build a machine learning project from scratch
Company Details
- Founded
- -
- Industry
- E-Learning
- Website
- https://amzn.to/3fqi9Sw
Machine Learning With Scikit-Learn Quick Start Guide Questions
Machine Learning With Scikit-Learn Quick Start Guide's website is https://amzn.to/3fqi9Sw
Machine Learning With Scikit-Learn Quick Start Guide's LinkedIn profile is https://www.linkedin.com/company/datacollege
Machine Learning With Scikit-Learn Quick Start Guide's industry is
E-learning
Machine Learning With Scikit-Learn Quick Start Guide's top competitors are
Keras,
Scikit-Learn Consortium,
Scikit-Learn,
Ml Performance,
Fred Brandon Flames Foundation,
Pytorch,
United States Artificial Intelligence Institute,
Book: Machine Learning For Network And Cloud Engineers,
Theano,
Pfactorial Technologies Pvt Ltd.
Machine Learning With Scikit-Learn Quick Start Guide's categories are E-learning
Machine Learning With Scikit-Learn Quick Start Guide's founding year is 2018
