from sklearn.decomposition import PCA
pca = PCA()
X_train_pca = pca.fit_transform(X_train)
X_test_pca = pca.transform(X_test)

from sklearn.manifold import TSNE
X_train_tsne = TSNE(n_components=2, random_state=0).fit_transform(X_train)

from sklearn.manifold import TSNE

size_train = X_train.shape[0]
X = np.vstack((X_train,X_test))

X_tsne = TSNE(n_components=2, random_state=0).fit_transform( X )
X_train_tsne = X_tsne[0:size_train,:]
X_test_tsne  = X_tsne[size_train:,:]