All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Training Systems using Python Statistical Modeling

You're reading from Training Systems using Python Statistical Modeling

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781838823733

Pages 290 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Curtis Miller

Table of Contents (9) Chapters

Preface

1. Classical Statistical Analysis

2. Introduction to Supervised Learning

3. Binary Prediction Models

4. Regression Analysis and How to Use It

5. Neural Networks

6. Clustering Techniques

7. Dimensionality Reduction

8. Other Books You May Enjoy

Leave a review - let other readers know what you think

Technical requirements

The following is required to get the most out of this book:

A Windows or Linux system with internet access
A basic understanding of Python
A basic understanding of the various libraries in Python, such as NumPy, pandas, and matplotlib
A basic understanding of Anaconda and Jupyter Notebook

Before starting on this book, the first thing you need to do is to install Anaconda on your system, if you haven't done so already. The installation process is pretty straightforward, as shown in the following steps:

Go to the Anaconda website at https://www.anaconda.com/distribution/#download-section. You will be greeted by the following download section:

Here, you need to select the appropriate installer for your system and download it. Once the download is done, the installation wizard should take you through the whole process easily.
Once the installation is completed, to access the Jupyter Notebook, you should open the Anaconda command line or Terminal and enter the following command:

jupyter notebook

This results in the following screen:

You are now ready to start working!

You have been reading a chapter from

Training Systems using Python Statistical Modeling

Published in: May 2019 Publisher: Packt ISBN-13: 9781838823733

© 2019 Packt Publishing Limited All Rights Reserved

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

Authors (1)

Curtis Miller

Curtis Miller is a doctoral candidate at the University of Utah studying mathematical statistics. He writes software for both research and personal interest, including the R package (CPAT) available on the Comprehensive R Archive Network (CRAN). Among Curtis Miller's publications are academic papers along with books and video courses all published by Packt Publishing. Curtis Miller's video courses include Unpacking NumPy and Pandas, Data Acquisition and Manipulation with Python, Training Your Systems with Python Statistical Modelling, and Applications of Statistical Learning with Python. His books include Hands-On Data Analysis with NumPy and Pandas.

See other products by Curtis Miller

Other recommended products

Related to this chapter

Hands-On Data Analysis with NumPy and Pandas

Hands-On Data Analysis with NumPy and Pandas

In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects.

Jun 2018 5 hours 36 minutes

MATLAB for Machine Learning

MATLAB for Machine Learning

MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build a foundation for machine learning using MATLAB for beginners. It will also help you learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB.

Aug 2017 12 hours 44 minutes

Statistics Crash Course for Beginners

Statistics Crash Course for Beginners

Through both theoretical and practical study with Python, this course will get you up to speed with all you need to know about statistics in programming—a core study of machine learning.

Mar 2021 10 hours 58 minutes

Python Data Mining Quick Start Guide

Python Data Mining Quick Start Guide

This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.

Apr 2019 6 hours 16 minutes

Applied Unsupervised Learning with R

Applied Unsupervised Learning with R

Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.

Mar 2019 10 hours 40 minutes

Neural Networks with R

Neural Networks with R

The book helps you learn neural networks and implement them in R. It covers real-world use cases that will help you better understand their concepts. A basic understanding of R and mathematics is required.

Sep 2017 9 hours 0 minutes

Data Analysis with IBM SPSS Statistics

Data Analysis with IBM SPSS Statistics

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. This book will have a comprehensive coverage of IBM’s premier statistics and data analysis tool – IBM SPSS Statistics. It is designed for business professionals who wish to analyze their data. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.

Sep 2017 14 hours 52 minutes

Mastering Predictive Analytics with scikit-learn and TensorFlow

Mastering Predictive Analytics with scikit-learn and TensorFlow

In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.

Sep 2018 5 hours 8 minutes

Bayesian Analysis with Python

Bayesian Analysis with Python

Bayesian inference uses probability distributions and Bayes' theorem to build flexible models. The book uses PyMC3 to abstract all the mathematical and computational details from this process allowing readers to solve a wide range of problems in data science.

Dec 2018 11 hours 52 minutes

Machine Learning with R Cookbook

Machine Learning with R Cookbook

The R language is a powerful open source functional programming language. At its core, R is a statistical language that provides impressive tools to analyze data and create high-level graphics. This book covers the basics of R by setting up a user-friendly programming environment and programming ETL in R. Data exploration examples are provided that demonstrate how powerful data visualisation and machine learning is in discovering hidden relationships. You will also explore air quality data, steps to fix the missing values and visualising the same. You will then dive into important machine learning topics, including data classification, regression, survival analysis, time series analysis, clustering association rule mining, and dimension reduction.This book will include the latest code and examples based on R 3.3 and above—updated for better computation, accuracy, and speed with R.

Oct 2017 19 hours 4 minutes

Regression Analysis with R

Regression Analysis with R

Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.

Jan 2018 14 hours 4 minutes

Hands-On Ensemble Learning with Python

Hands-On Ensemble Learning with Python

Ensemble learning can provide the necessary methods to improve the accuracy and performance of existing models. In this book, you'll understand how to combine different machine learning algorithms to produce more accurate results from your models.

Jul 2019 9 hours 56 minutes

Personalised recommendations for you

Based on your interests and search pattern

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

Aug 2023 7 hours 40 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

Aug 2023 22 hours 48 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

Oct 2023 21 hours 12 minutes

Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

Aug 2023 14 hours 0 minutes

Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

Dec 2023 8 hours 0 minutes

TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

Nov 2023 22 hours 8 minutes