Getting started with data mining and mastering the-R language video tutorial

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Course Introduction

I. Software used in the course: R 3.2.2 (64-bit) RStudio

Second, the technical points involved in the course:

1) Basic syntax and functions of the R language

2) A very useful package in R

3) Principle and realization of pattern recognition and classification prediction algorithm

Iii. objectives of the course learning:

This course explains the theory and combines a large number of cases, so that learners can quickly grasp the data mining skills, and the use of r data processing, drawing, implementation according to the establishment of mining model. By completing this course, learners can achieve the following goals:

1) master basic R usage;

2) Use R for descriptive statistical analysis, data processing and visualization;

3) The cleaning ability of the missing value;

4) Set up data mining model with R language;

Iv. Curriculum Outline:

Chapter One: Introduction to Basic concepts

1th lesson, data Mining, R language Concept Introduction

2nd lesson, software Installation and data reading, writing, modification

3rd lesson, basic concept explanation (vector, matrix, factor, data frame, list)

The 4th lesson, the basic figure explanation and the drawing

Chapter II: Introduction and application of practical software packages

5th lesson, Plyr Package main function explanation

6th lesson, Plyr package Auxiliary function explanation

7th Lesson, Ggpolt2 Introduction

8th Lesson, GGPOLT2 Practice

The 9th lesson, the explanation of the Reshape2 package and the practical operation

The treatment of the missing value of the 10th lesson and lesson

Chapter Three: Algorithm explanation and application

The 11th lesson, KNN principle Introduction

The 12th lesson, KNN algorithm actual operation

The 13th lesson and the theory explanation of decision tree

14th lesson, decision tree Real exercise

The 15th lesson, Artificial Neural network introduction 1

16th lesson, Artificial Neural network Introduction 2

17th lesson, Artificial neural network real 1

18th lesson, Artificial neural network Real 2

19th lesson, support vector Machine principle Introduction

The 20th lesson, the real operation of support vector machine

Getting started with data mining and mastering the-R language video tutorial