{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.manifold import TSNE\nfrom sklearn.decomposition import PCA\nimport matplotlib.pyplot as plt\nimport seaborn as sns","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train = pd.read_csv('/kaggle/input/digit-recognizer/train.csv')\ntrain.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.isnull().any().sum()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"label = train[\"label\"]\nlabel.value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train = train.drop(labels = [\"label\"],axis = 1)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"standardization:","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"train = StandardScaler().fit_transform(train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"pca = PCA(n_components=2)\npca_res = pca.fit_transform(train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"pca_res.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(16,10))\n\nsns.scatterplot(x = pca_res[:,0], y = pca_res[:,1], hue = label, palette = sns.hls_palette(10), legend = 'full');","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Using t-SNE:","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\ntsne = TSNE(n_components = 2, random_state=0)\ntsne_res = tsne.fit_transform(train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(16,10))\n\nsns.scatterplot(x = tsne_res[:,0], y = tsne_res[:,1], hue = label, palette = sns.hls_palette(10), legend = 'full');","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"pca = PCA(n_components=50)\npca_res_50 = pca.fit_transform(train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\ntsne_res = tsne.fit_transform(pca_res_50)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(16,10))\n\nsns.scatterplot(x = tsne_res[:,0], y = tsne_res[:,1], hue = label, palette = sns.hls_palette(10), legend = 'full');","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}