Prerequisite :
You must have python 3.7 or more installed on your system.
You must have Spyder, jupyter notebook or pycharm installed on your system. Spyder or jupyter notebook come up with anaconda. you just need to launch them after installing anaconda.
If you work on a Colab no need to install python or Any other IDE, you need to just sign in with google Colab.
What you’ll learn
How to read the data using pandas dataframe
Perform Basic Exploratory Data analysis
Determining the number of cluster using Elbow method
Determining the silhouette score
How to check outliers from the dataset using boxplot.
How to implement the various clustering techniques on dataset e.g K-means, DBSCAN, Hierarchy, Mean Shift clustering algorithm.
Problem Statement or Description:
The dataset contains health and socio economic related 10 columns and 167 records. The focus of this research is how to categorise the countries using socio-economic and health factors that determine the overall development of the country.
Key highlights of projects or Essence
This project is aboutClustering analysis.
This project shows you how to read the data and perform some basic Exploratory data analysis.
This project show you how to find the number of cluster using elbow method
This project show you how to find silhouette coefficient or silhouette score
This project shows you how to implement the clustering algorithm on the dataset and how to visualize data.
Recommended projects:
Mall customer analysis
Online retail customer analysis
Credit card analysis
Wine data analysis
Customer personality analysis using clustering
Skills:
Data Science, Machine Learning, Deep Learning, scikit-learn, pandas, Clustering
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