This is part 6 in our series, in this portion, we will evaluate how well our model did and examine different methods for determining the K in K-Means. We will also wrap up the video by creating silhouette graphs and scatter plots that categorize each cluster in our data.

Video Resources:
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Resource: GitHub File
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Resource: Sigma Coding K Means Folder
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Related Topics:
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Title: Clustering Stocks With Python | Part 4 PCA & Plotting
Link: [ Ссылка ]

Title: Clustering Stocks With Python | Part 1 Introduction
Link: [ Ссылка ]

Title: Clustering Stocks With Python | Part 2 Data Collection
Link: [ Ссылка ]

Title: Clustering Stocks With Python | Part 3 Data Transformation
Link: [ Ссылка ]

Title: Clustering Stocks With Python | Part 5 Building the Model
Link: [ Ссылка ]

Title: Clustering Stocks With Python | Part 6 Model Evaluation
Link: [ Ссылка ]


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Tags:
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#MachineLearning #Python #Kmeans

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