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Hands-On Statistical Predictive Modeling
Hands-On Statistical Predictive Modeling

Hands-On Statistical Predictive Modeling: Build statistical predictive models to make predictions based on data and gain insights from data to make better business decisions

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Profile Icon Jesus Salcedo
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£99.99
Video Sep 2018 3hrs 3mins 1st Edition
Video
£99.99
Subscription
Free Trial
Renews at £16.99p/m
Arrow left icon
Profile Icon Jesus Salcedo
Arrow right icon
£99.99
Video Sep 2018 3hrs 3mins 1st Edition
Video
£99.99
Subscription
Free Trial
Renews at £16.99p/m
Video
£99.99
Subscription
Free Trial
Renews at £16.99p/m

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Key benefits

  • • Make your data earn its keep by developing efficient models to predict future results accurately
  • • Master the data science forces that drive your company and make the most of these forthcoming opportunities
  • • Apply statistical predictive modeling to help your organization make better business decisions

Description

Predicting future trends can be the difference between profit and loss for competitive enterprises. Most businesses state that poor data quality leads to bad decision-making. Further, the predictive analytics market is expected to grow by 22% by 2020. As this technology hits the mainstream, now is the time to consider which predictive modeling techniques will produce the best results for your organization. Hands-On Statistical Predictive Modeling gives you everything you need to bring the power of statistical predictive models into your statistical or data mining work. However, without the right predictive modeling techniques, analytics projects are unlikely to provide actionable insights. This course will show you how these core algorithms underpin the accuracy and relevance of statistical results and drive competitive differentiation. You will be able to anticipate customer behavior, take steps to cultivate customer loyalty, and capture a greater share of the market. You will be aware of the data science forces shaping your future economy and will have mastered how best to use and seize these coming opportunities. By the end of this course, you will be able to elevate your company's analytics know-how to enhance its decision-making skills, cost efficiency, and profitability. You will also be able to put these skills to use in your upcoming statistical and data mining projects. All data files for this course are available on GitHub at https://github.com/PacktPublishing/Hands-On-Statistical-Predictive-Modeling

Who is this book for?

If you are a statistical or data mining professional and want to add statistical predictive modeling to your skill set, then this is the ideal course for you. Basic statistics knowledge will be helpful, but no prior knowledge of statistical predictive modeling is assumed.

What you will learn

  • • Differentiate between various types of predictive models
  • • Master linear regression
  • • Explore the results of logistic regression
  • • Understand when to use discriminant analysis
  • • Understand the inner workings of your models
  • • Maximize your productivity by analyzing your models and interpreting their accuracy in a well-organized manner

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 27, 2018
Length: 3hrs 3mins
Edition : 1st
Language : English
ISBN-13 : 9781789611618
Vendor :
IBM
Category :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Sep 27, 2018
Length: 3hrs 3mins
Edition : 1st
Language : English
ISBN-13 : 9781789611618
Vendor :
IBM
Category :
Tools :

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Frequently bought together


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Total £ 202.98
Advanced Statistics and Data Mining for Data Science
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Hands-On Statistical Predictive Modeling
£99.99
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Table of Contents

4 Chapters
Getting Started with Predictive Modeling Chevron down icon Chevron up icon
Making Predictions with Linear Regression Chevron down icon Chevron up icon
Determining Likelihoods Using Logistic Regression Chevron down icon Chevron up icon
Classifying Cases with Discriminant Analysis Chevron down icon Chevron up icon
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