How Long to Read Training Systems Using Python Statistical Modeling

How Long Does it Take to Read Training Systems Using Python Statistical Modeling?

It takes the average reader 4 hours and 48 minutes to read Training Systems Using Python Statistical Modeling by Curtis Miller

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

Description

Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key FeaturesGet introduced to Python's rich suite of libraries for statistical modelingImplement regression, clustering and train neural networks from scratchIncludes real-world examples on training end-to-end machine learning systems in PythonBook Description Python's ease of use and multi-purpose nature has led it to become the choice of tool for many data scientists and machine learning developers today. Its rich libraries are widely used for data analysis, and more importantly, for building state-of-the-art predictive models. This book takes you through an exciting journey, of using these libraries to implement effective statistical models for predictive analytics. You’ll start by diving into classical statistical analysis, where you will learn to compute descriptive statistics using pandas. You will look at supervised learning, where you will explore the principles of machine learning and train different machine learning models from scratch. You will also work with binary prediction models, such as data classification using k-nearest neighbors, decision trees, and random forests. This book also covers algorithms for regression analysis, such as ridge and lasso regression, and their implementation in Python. You will also learn how neural networks can be trained and deployed for more accurate predictions, and which Python libraries can be used to implement them. By the end of this book, you will have all the knowledge you need to design, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive analytics. What you will learnUnderstand the importance of statistical modelingLearn about the various Python packages for statistical analysisImplement algorithms such as Naive Bayes, random forests, and moreBuild predictive models from scratch using Python's scikit-learn libraryImplement regression analysis and clusteringLearn how to train a neural network in PythonWho this book is for If you are a data scientist, a statistician or a machine learning developer looking to train and deploy effective machine learning models using popular statistical techniques, then this book is for you. Knowledge of Python programming is required to get the most out of this book.

How long is Training Systems Using Python Statistical Modeling?

Training Systems Using Python Statistical Modeling by Curtis Miller is 284 pages long, and a total of 72,136 words.

This makes it 96% the length of the average book. It also has 88% more words than the average book.

How Long Does it Take to Read Training Systems Using Python Statistical Modeling Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 34 minutes to read Training Systems Using Python Statistical Modeling aloud.

What Reading Level is Training Systems Using Python Statistical Modeling?

Training Systems Using Python Statistical Modeling 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 Training Systems Using Python Statistical Modeling?

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