Unsupervised Machine Learning with 2 Capstone ML Projects

Learn Complete Unsupervised ML: Clustering Analysis and Dimensionality Reduction

What you’ll learn

Understand the Working of K Means, Hierarchical, and DBSCAN Clustering.
Implement K Means, Hierarchical, and DBSCAN Clustering using Sklearn.
Learn Evaluation Metrics for Clustering Analysis.
Learn Techniques used for Treating Dimensionality.
Implement Correlation Filtering, VIF, and Feature Selection.
Implement PCA, LDA, and t-SNE for Dimensionality Reduction.
Analyze the Climatic Factors Best to Grow Certain Crops.
Recommend Crops by looking at Certain Climatic Factors.
Categorize the data into n number of relevant groups which are useful for Marketing Purposes.
Identify the Target Group of Customers.

Anyone who want to start a career in Unsupervised Machine Learning.
Any people who want to level up their Unsupervised Machine Learning Knowledge.
Software developers or programmers or Tech lover who want to change their career path to Unsupervised machine learning.