Crypto_Unsupervised

(Analyzing cryptocurrencies using unsupervised machine learning-Python)

The following steps were taken to produce this deliverable.

• Prepare the Data

  # Use the `StandardScaler()` module from scikit-learn to normalize the data from the CSV file
  stscaled_data = StandardScaler().fit_transform(market_data_df)
  stscaled_data

• Find the Best Value for k Using the Original Scaled DataFrame

# Plot a line chart with all the inertia values computed with 
# the different values of k to visually identify the optimal value for k.
elbow_plot = elbow_data_df.hvplot.line(
    x='k',
    y='inertia',
    title="Crypto Elbow",
    xticks=k
)
elbow_plot

• Cluster Cryptocurrencies with K-means Using the Original Scaled Data

# Initialize the K-Means model using the best value for k
model = KMeans(n_clusters =4)

# Fit the K-Means model using the scaled data
model.fit(stscaled_data_df)

# Predict the clusters to group the cryptocurrencies using the scaled data
crypto_clusters = model.predict(stscaled_data_df)

# Print the resulting array of cluster values.
crypto_clusters

• Optimize Clusters with Principal Component Analysis

# Use the PCA model with `fit_transform` to reduce to 
# three principal components.
crypto_pca = pca.fit_transform(predict_df)

# View the first few rows of the DataFrame. 
crypto_pca[:6]

• Find the Best Value for k Using the PCA Data

# Plot a line chart with all the inertia values computed with 
# the different values of k to visually identify the optimal value for k.
pca_plot = elbow_pca_df.hvplot.line(
    x='k',
    y='inertia',
    title='PCA Curve'
)

pca_plot

• Cluster Cryptocurrencies with K-means Using the PCA Data

# Create a scatter plot using hvPlot by setting 
# `x="PC1"` and `y="PC2"`. 
# Color the graph points with the labels found using K-Means and 
# add the crypto name in the `hover_cols` parameter to identify 
# the cryptocurrency represented by each data point.
pca_scatter =crypto_predict_pca_df.hvplot.scatter(
    x='PC1',
    y='PC2',
    by='like_segments',
    hover_cols=['coin_id'],
    marker=['star', 'square', 'hex', 'triangle'],
    title='PCA Crypto Clusters'
)
pca_scatter

Elbow Curve Comparison

Cluster Comparison

I attended office hours where an instructor assisted with this project.

Questions?

Please refer to the following:
My LinkedIn Page
My Email Contact