Unsupervised Machine Learning with 2 Capstone ML Projects

Learn Complete Unsupervised ML: Clustering Analysis and Dimensionality Reduction

[Free Udemy Course] Unsupervised Machine Learning with 2 Capstone ML Projects

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.

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