Machine Learning with R Programming
3.3 (9 ratings)
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Machine Learning with R Programming

Learn in Detail How to execute Machine Learning Algorithms in R Programming
3.3 (9 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
56 students enrolled
Created by Easylearning guru
Last updated 2/2016
English
Current price: $10 Original price: $25 Discount: 60% off
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Includes:
  • 2 hours on-demand video
  • 46 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Understanding Machine Learning and its techniques in brief
  • Learn Implementation of different methods to estimate the model performance using caret package
  • Learn how to apply machine learning tools to build and evaluate predictors on real data
  • How to cluster the data using Machine Learning clustering algorithm such as K-Means, etc
  • Perform Prediction on large dataset using Regression Techniques
  • Forecast the Time series data with the help of casestudy
View Curriculum
Requirements
  • You should have solid foundation in R
  • You should have good understanding of general statistics
Description

This course will cover the basic algorithm that helps us to build and apply prediction functions with an emphasis on practical applications. Students, at the end of this training, will be technically competent in the basics and the fundamental concepts of Machine Learning such as:

  • Understand components of a machine learning algorithm
  • Apply multiple machine learning tools to build and evaluate predictors on real data
  • Learn how to perform different classification algorithm to filtering the Email data
  • Forecasting on Time series Data
  • Perform Clustering with the help of case study
  • This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments are also provided in the last section for your self-practice, working files are provided along with the first lecture.
Who is the target audience?
  • This course is intended for Analyst professionals who will be using Machine Learning algorithms to analyze big data, Data scientist who will identify, analyze, and interpret trends or patterns in complex data sets, Software professionals and analytics Professionals
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Curriculum For This Course
42 Lectures
02:07:06
+
Introduction to validation and its Methods
3 Lectures 12:01
+
Classification
7 Lectures 27:04
Introduction to Classification
01:37

KNN-K Nearest Neighbors
02:52

Implementation of KNN algorithm
05:51

Naives-Bayes Classifier
02:42

Implementation of Naive Bayes Classifier
10:22

Linear Discriminant Analysis
01:05

Implementation of Linear Discriminant Analysis
02:35
+
Black Box Methods – Neural Networks and Support Vector Machines
6 Lectures 18:08
Introduction to Artificial Neural Network
01:38

Conceptualizing of Neural Network
02:03

Implementation of Neural Network in R
05:01

Back Propagation
02:59

Introduction to Support Vector Machine
02:14

Implementation of SVM in R
04:13
+
Tree Based Models
5 Lectures 19:21
Decision Tree
02:16

Implementation of decision tree
04:28

Bagging
03:09

Random Forest
05:00

Boosting
04:28
+
Clustering
5 Lectures 14:52
Introduction to Clustering
01:20

K-Means Clustering
06:52

Implementation to K-Means Clustering
02:47

Hierarchical Clustering
01:32

Implementation of Hierarchical Clustering
02:21
+
Regression
6 Lectures 20:55
Predicting with Linear Regression
02:28

Implementation of Linear Regression
04:25

Multiple Covariates Regression
03:28

Logistic Regression
06:00

Forecasting
02:20

Implementation of Forecasting
02:14
+
Assignments and Quiz
6 Lectures 00:00
Introduction to validation and its Methods
1 page

Classification
1 page

Black Box Methods – Neural Networks and Support Vector Machines
1 page

Tree Based Models
2 pages

Clustering
1 page

Regression
2 pages
About the Instructor
Easylearning guru
3.1 Average rating
252 Reviews
2,429 Students
12 Courses
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Easylearning guru is a leading provider of professional certification courses. We offers training from best experts in the industry to meet the unique learning needs. We are the pioneer's in online education and training, and aims to offer our professionals flexible & an integrated model of training to meet their needs & requirements.