Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
cover: Pre-processing: Preparing your dataset for analysis. Scaling: Why and how to scale your data. Optimal PCA Components: Determining the right number of components. Applying PCA: Transforming your data. KMeans Clustering: Grouping the transformed data. Analyzing PCA Loadings: Understanding what