Applied Machine Learning With R

  Section 1 : Introduction
1
Introduction Preview
2
Starting up- Machine learning with R
3
What is Artificial Intelligence and machine learning
4
Flow of machine learning Preview
5
Machine Learning vs Deep Learning

  Section 2 : R programming tool
6
R tool and installation
7
R data structures

  Section 3 : H2O Package
8
Basics of Machine learning
9
Supervised and unsupervised learning
10
Case study- K means clustering Preview
11
Installation of H2O package
12
Performing Regression with H2O
13
Analysing the regression with H2O

  Section 4 : TensorFlow Package
14
Tensorflow package
15
Performing Regression with TensorFlow
16
Analysing the regression with TensorFlow
17
Performance of model using TensorFlow

  Section 5 : First Machine Learning
18
Caret Package for Machine Learning
19
Machine Learning with dataset
20
Iris dataset Implementation
21
Evaluation of Algorithms with models
22
Selecting Best Model in Machine Learning

  Section 6 : Artificial Neural Networks
23
Creating and Visualizing Neural networks
24
Demonstration of sample neural network
25
Prediction Analysis of neural network
26
Cross Validation Box plot
27
Activity- Dataset to Neural Network

  Section 7 : Cluster Generation
28
Cluster Generation
29
Cluster Generation Output Analysis

  Section 8 : Decision Trees
30
Decision Trees of Machine Learning
31
Car Evaluation Problem Statement
32
Plotting a Decision Tree
33
Prediction Analysis- Decision Tree

  Section 9 : Text Mining
34
Introduction to Text Mining
35
Text Mining with R