Data Science, Python, Machine Learning, Dimensionality Reduction.
PCA, t-SNE is better at preserving relationships between data points and visualizing complex patterns, while PCA is more suitable for retaining the dataset variance. tsne = TSNE(n_components = 2, perplexity = 50) components = tsne.fit_transform(X) df_ = df.join(pd.DataFrame(components, index =