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Advanced Data Mining projects with R [Video]

Advanced Data Mining projects with R: Discover the versatility of R for data mining [Video]

By Pradeepta Mishra
$130.99
Video Feb 2017 1 hours 24 minutes 1st Edition
Video
$130.99
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$15.99 Monthly
Video
$130.99
Subscription
$15.99 Monthly

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Product Details

Publication date : Feb 20, 2017
Length 1 hours 24 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781787283770
Vendor :
RStudio
Category :
Data
Languages :
R (Intermediate)
Concepts :
Data Mining
Tools :
ggplot (Beginner) , RStudio (Intermediate)
toc View table of contents toc Download Code

Key benefits

Implement complex data mining techniques in R to build your own recommendation engineApply dimensionality reduction and neural network techniques in real-world projectsPractical projects on real-world use-cases presented in a very easy to understand manner

Description

Advanced Data Mining Projects with R takes you one step ahead in understanding the most complex data mining algorithms and implementing them in the popular R language. Follow up to our course Data Mining Projects in R, this course will teach you how to build your own recommendation engine. You will also implement dimensionality reduction and use it to build a real-world project. Going ahead, you will be introduced to the concept of neural networks and learn how to apply them for predictions, classifications, and forecasting. Finally, you will implement ggplot2, plotly and aspects of geomapping to create your own data visualization projects.By the end of this course, you will be well-versed with all the advanced data mining techniques and how to implement them using R, in any real-world scenario.

What you will learn

• Create predictive models in order to build a recommendation engine • Implement various dimension reduction techniques to handle large datasets • Acquire knowledge about the neural network concept drawn from computer science and its applications in data mining

What do you get with a video?

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

Product Details

Publication date : Feb 20, 2017
Length 1 hours 24 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781787283770
Vendor :
RStudio
Category :
Data
Languages :
R (Intermediate)
Concepts :
Data Mining
Tools :
ggplot (Beginner) , RStudio (Intermediate)

Table of Contents

4 Chapters
Clustering with E-commerce Data Packt Packt
The Course Overview
Understanding Customer Segmentation
Clustering Methods – K means and Hierarchical
Clustering Methods – Model Based, Other and Comparison
Building a Retail Recommendation Engine Packt Packt
What Is Recommendation?
Application of Methods and Limitations of Collaborative Filtering
Practical Project
Dimensionality Reduction Packt Packt
Why Dimensionality Reduction?
Practical Project around Dimensionality Reduction
Parametric Approach to Dimension Reduction
Applying Neural Network to Healthcare Data Packt Packt
Introduction to Neural Networks
Understanding the Math Behind the Neural Network
Neural Network Implementation in R
Neural Networks for Prediction
Neural Networks for Classification
Neural Networks for Forecasting
Merits and Demerits of Neural Networks

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Authors (1)

Profile Pradeepta Mishra
Pradeepta Mishra is a data scientist, predictive modeling expert, deep learning and machine learning practitioner, and econometrician. He currently leads the data science and machine learning practice for Ma Foi Analytics, Bangalore, India. Ma Foi Analytics is an advanced analytics provider for Tomorrow's Cognitive Insights Ecology, using a combination of cutting-edge artificial intelligence, a proprietary big data platform, and data science expertise. He holds a patent for enhancing the planogram design for the retail industry. Pradeepta has published and presented research papers at IIM Ahmedabad, India. He is a visiting faculty member at various leading B-schools and regularly gives talks on data science and machine learning. Pradeepta has spent more than 10 years solving various projects relating to classification, regression, pattern recognition, time series forecasting, and unstructured data analysis using text mining procedures, spanning across domains such as healthcare, insurance, retail and e-commerce, manufacturing, and so on. If you have any questions, don't hesitate to look him up on Twitter via @mishra1_PK—he will be more than glad to help a fellow web professional wherever, whenever.
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