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Data Mining in R
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Duration
2 hours session
Course outline
Design
Database Mining :-
-Data Types & Structures
-Vectors in R
-Matrices in R
-Lists in R
-Dataframes in R
Prerequisite knowledge
Basic Data Mining Knowledge (Data Mining 101)
Learning outcomes
Learners will be able to understand various elements that fall under the Data Mining process and how they can be availed using the R programming language.
Software / Hardware requirements
Anaconda Distribution
Install the ‘64-bit Graphical installer’
R studio
(For both Windows & macOS)
Sugggested link:
https://www.anaconda.com/products/individual
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Data Manipulation Basics - Python
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Data Manipulation using Python - Grouping & Merging
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Advanced Data Manipulation - Python
1.75 hours session
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