1_Course outline

2_Books Recommendation

1_Ecosia Search Engine

1_What is Machine Learning

2_Phases of Machine Learning Model

3_Different ways in which Machine Learn

4_Types of Machine Learning

5_Machine Learning Full View Recap

1_Introduction to Unsupervised Learning

2_Unsupervised learning process

3_Type of UL algorithms

1_What is clustering

2_How clustering different from classification

3_Clustering example

4_What clustering do exactly

6_Types of clustering

5_What are good clusters

1_Similarity n Dissimilarity

2_Similarity measure

3_Similarity measure algorithms

4_Two groups of Similarity measure

5_Cosine similarity

6_Jaccard similarity

7_Euclidean distance

8_Manhattan distance

9_Minkowski distance

10_Distance computation assignment

11_Reading assignment

1_Types of clustering algorithms

2_Clustering algorithm connectivitiy based

3_Clustering algorithm centroid based

4_Clustering algorithm density based

5_Drawback of density and boundary based approaches

6_Clustering algorithm distribution based

7_Advantages disadvantages of clustering algorithms

8_Types of clustering algorithms extension

9_Reading assignment

1_H-clustering algorithm

2_H-clustering algorithm Introduction

3_H-clustering algorithm steps

4_H-clustering merge clusters

5_.H-clustering single linkage

6_H-clustering properties

7_H-clustering R

8_H-clustering R implementation 1

9_H-clustering R implementation 2

10_Reading Assignemnt & Exercise

1_Kmean clustering module

2_Kmean clustering introduction

3_Kmean clustering algorithm

4_Kmean clustering algorithm visual

5_Kmean clustering problem

6_Kmean clustering R

7_Kmean clustering R visualisation

8_Kmean clustering Optimal cluster

9_Kmean clustering advantanges disadvantages

10_Kmean clustering use cases practice

1_DBSCAN clustering algorithm

1_Clustering Evaluation Matric

1_Cluster visualisation-kmeans

2_Cluster visualisation hclust

3_Cluster visualisation factoextra lib

1_Kaggle datasets

1_Kaggle datasets

1_Course Conclusion