How Long to Read Hands-On Machine Learning with Scikit-Learn

How Long Does it Take to Read Hands-On Machine Learning with Scikit-Learn?

It takes the average reader 3 hours and 31 minutes to read Hands-On Machine Learning with Scikit-Learn by Amir Ali

Assuming a reading speed of 250 words per minute. Learn more

Description

Hands-On Machine Learning with Scikit-Learn Book Description In this Book Hands-On Machine Learning with Scikit Learn. The author covered both Supervised and Unsupervised Machine Learning Algorithms. The authors explain both Theoretical and Practical Implementation in depth and Explain Each Algorithm from Scratch. For Practical Implementation uses the Scikit-learn Library in this book. 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 variously supervised and unsupervised machine learning models. You will learn classification, regression, Association Rule, clustering techniques and Dimensionality Reduction Techniques to work with different types of datasets and train your models. Key Features ● Learn Supervised & Unsupervised Machine Learning Algorithms in Depth. ●Build your first machine learning model using scikit-learn ●Train supervised and unsupervised models using popular techniques such as classification, regression, clustering and Dimensionality Reduction. ●Understand how scikit-learn can be applied to different types of machine learning problems What you will learn ●Perform classification and regression machine learning ●Employ Unsupervised Machine Learning Algorithms to cluster unlabeled data into groups ●Apply the Dimensionality Reduction Technique for reducing the Dimensionality of the dataset Who this book is for ●Anyone who interesting in Machine Learning. ●Fundamental knowledge of linear algebra and probability will help. ●Intermediate knowledge of Python programming Table of Contents 1. Introduction to Machine Learning 2. Linear Regression 3. Naïve Bayes 4. Decision Tree ( classification & Regression ) 5. Random Forrest( classification & Regression ) 6. K-Nearest Neighbors 7. Logistic Regression 8. Support Vector Machine 9. Association Rule ( Apriori & Eclat ) 10. Clustering ( K-Mean & Hierarchical ) 11. Dimensionality Reduction ( PCA & LDA )

How long is Hands-On Machine Learning with Scikit-Learn?

Hands-On Machine Learning with Scikit-Learn by Amir Ali is 211 pages long, and a total of 52,961 words.

This makes it 71% the length of the average book. It also has 65% more words than the average book.

How Long Does it Take to Read Hands-On Machine Learning with Scikit-Learn Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 49 minutes to read Hands-On Machine Learning with Scikit-Learn aloud.

What Reading Level is Hands-On Machine Learning with Scikit-Learn?

Hands-On Machine Learning with Scikit-Learn is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Hands-On Machine Learning with Scikit-Learn?

Hands-On Machine Learning with Scikit-Learn by Amir Ali is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Hands-On Machine Learning with Scikit-Learn by Amir Ali on Amazon click the button below.