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Training Systems Using Python Statistical Modeling - Explore popular techniques for modeling your data in Python (Paperback)
Loot Price: R940
Discovery Miles 9 400
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Training Systems Using Python Statistical Modeling - Explore popular techniques for modeling your data in Python (Paperback)
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Total price: R960
Discovery Miles: 9 600
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Leverage the power of Python and statistical modeling techniques
for building accurate predictive models Key Features Get introduced
to Python's rich suite of libraries for statistical modeling
Implement regression, clustering and train neural networks from
scratch Includes real-world examples on training end-to-end machine
learning systems in Python Book DescriptionPython'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
learn Understand the importance of statistical modeling Learn about
the various Python packages for statistical analysis Implement
algorithms such as Naive Bayes, random forests, and more Build
predictive models from scratch using Python's scikit-learn library
Implement regression analysis and clustering Learn how to train a
neural network in Python Who this book is forIf 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.
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