{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":3004,"databundleVersionId":861823,"sourceType":"competition"}],"dockerImageVersionId":30786,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:06.741870Z","iopub.execute_input":"2024-11-05T14:32:06.742314Z","iopub.status.idle":"2024-11-05T14:32:07.224560Z","shell.execute_reply.started":"2024-11-05T14:32:06.742258Z","shell.execute_reply":"2024-11-05T14:32:07.223321Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df = pd.read_csv(\"/kaggle/input/digit-recognizer/train.csv\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:07.228765Z","iopub.execute_input":"2024-11-05T14:32:07.229310Z","iopub.status.idle":"2024-11-05T14:32:10.840189Z","shell.execute_reply.started":"2024-11-05T14:32:07.229266Z","shell.execute_reply":"2024-11-05T14:32:10.839096Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:10.841379Z","iopub.execute_input":"2024-11-05T14:32:10.841717Z","iopub.status.idle":"2024-11-05T14:32:10.866439Z","shell.execute_reply.started":"2024-11-05T14:32:10.841679Z","shell.execute_reply":"2024-11-05T14:32:10.865275Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:10.868065Z","iopub.execute_input":"2024-11-05T14:32:10.868463Z","iopub.status.idle":"2024-11-05T14:32:10.875277Z","shell.execute_reply.started":"2024-11-05T14:32:10.868421Z","shell.execute_reply":"2024-11-05T14:32:10.874141Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"![image.png](attachment:4e75343c-6513-4dcc-bb05-885d1b9b8daf.png)","metadata":{},"attachments":{"4e75343c-6513-4dcc-bb05-885d1b9b8daf.png":{"image/png":"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"}}},{"cell_type":"code","source":"# showing an image\nimport matplotlib.pyplot as plt","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:10.877057Z","iopub.execute_input":"2024-11-05T14:32:10.877530Z","iopub.status.idle":"2024-11-05T14:32:10.885603Z","shell.execute_reply.started":"2024-11-05T14:32:10.877475Z","shell.execute_reply":"2024-11-05T14:32:10.884370Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# extracting a random sample\ndf.sample()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:10.889975Z","iopub.execute_input":"2024-11-05T14:32:10.890456Z","iopub.status.idle":"2024-11-05T14:32:10.913095Z","shell.execute_reply.started":"2024-11-05T14:32:10.890414Z","shell.execute_reply":"2024-11-05T14:32:10.911902Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"plt.imshow(df.iloc[3653,1:].values.reshape(28,28))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:10.914620Z","iopub.execute_input":"2024-11-05T14:32:10.915049Z","iopub.status.idle":"2024-11-05T14:32:11.204583Z","shell.execute_reply.started":"2024-11-05T14:32:10.915006Z","shell.execute_reply":"2024-11-05T14:32:11.203481Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# spliting into dependent and independent\nX = df.iloc[:,1:]\ny = df.iloc[:,0]","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:11.206193Z","iopub.execute_input":"2024-11-05T14:32:11.206526Z","iopub.status.idle":"2024-11-05T14:32:11.212025Z","shell.execute_reply.started":"2024-11-05T14:32:11.206489Z","shell.execute_reply":"2024-11-05T14:32:11.210901Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:11.213390Z","iopub.execute_input":"2024-11-05T14:32:11.213795Z","iopub.status.idle":"2024-11-05T14:32:11.755709Z","shell.execute_reply.started":"2024-11-05T14:32:11.213754Z","shell.execute_reply":"2024-11-05T14:32:11.754705Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:11.757027Z","iopub.execute_input":"2024-11-05T14:32:11.757537Z","iopub.status.idle":"2024-11-05T14:32:11.988125Z","shell.execute_reply.started":"2024-11-05T14:32:11.757496Z","shell.execute_reply":"2024-11-05T14:32:11.987120Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.neighbors import KNeighborsClassifier\nknn = KNeighborsClassifier(n_jobs=-1)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:11.989515Z","iopub.execute_input":"2024-11-05T14:32:11.989969Z","iopub.status.idle":"2024-11-05T14:32:12.120619Z","shell.execute_reply.started":"2024-11-05T14:32:11.989901Z","shell.execute_reply":"2024-11-05T14:32:12.119409Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"knn.fit(X_train, y_train)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:12.122056Z","iopub.execute_input":"2024-11-05T14:32:12.122405Z","iopub.status.idle":"2024-11-05T14:32:12.253000Z","shell.execute_reply.started":"2024-11-05T14:32:12.122367Z","shell.execute_reply":"2024-11-05T14:32:12.251902Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"y_pred = knn.predict(X_test)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:12.254469Z","iopub.execute_input":"2024-11-05T14:32:12.254866Z","iopub.status.idle":"2024-11-05T14:32:30.646505Z","shell.execute_reply.started":"2024-11-05T14:32:12.254825Z","shell.execute_reply":"2024-11-05T14:32:30.645293Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:30.648140Z","iopub.execute_input":"2024-11-05T14:32:30.648533Z","iopub.status.idle":"2024-11-05T14:32:30.654074Z","shell.execute_reply.started":"2024-11-05T14:32:30.648490Z","shell.execute_reply":"2024-11-05T14:32:30.652907Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"accuracy_1 = accuracy_score(y_test, y_pred)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:30.655507Z","iopub.execute_input":"2024-11-05T14:32:30.655868Z","iopub.status.idle":"2024-11-05T14:32:30.669160Z","shell.execute_reply.started":"2024-11-05T14:32:30.655821Z","shell.execute_reply":"2024-11-05T14:32:30.667973Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"accuracy_1","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:30.670642Z","iopub.execute_input":"2024-11-05T14:32:30.671206Z","iopub.status.idle":"2024-11-05T14:32:30.681504Z","shell.execute_reply.started":"2024-11-05T14:32:30.671145Z","shell.execute_reply":"2024-11-05T14:32:30.680325Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Implemendting PCA for feature reduction","metadata":{}},{"cell_type":"code","source":"from sklearn.preprocessing import StandardScaler\n\nscaler = StandardScaler()\nX_train = scaler.fit_transform(X_train)\nX_test = scaler.transform(X_test)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:30.683521Z","iopub.execute_input":"2024-11-05T14:32:30.684025Z","iopub.status.idle":"2024-11-05T14:32:31.199554Z","shell.execute_reply.started":"2024-11-05T14:32:30.683968Z","shell.execute_reply":"2024-11-05T14:32:31.198308Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from sklearn.decomposition import PCA\n\npca = PCA(n_components=100)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:31.201166Z","iopub.execute_input":"2024-11-05T14:32:31.201606Z","iopub.status.idle":"2024-11-05T14:32:31.207123Z","shell.execute_reply.started":"2024-11-05T14:32:31.201513Z","shell.execute_reply":"2024-11-05T14:32:31.205838Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"X_train_pca = pca.fit_transform(X_train)\nX_test_pca = pca.transform(X_test)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:31.208975Z","iopub.execute_input":"2024-11-05T14:32:31.209468Z","iopub.status.idle":"2024-11-05T14:32:35.035343Z","shell.execute_reply.started":"2024-11-05T14:32:31.209409Z","shell.execute_reply":"2024-11-05T14:32:35.033455Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"knn2 = KNeighborsClassifier(n_jobs=-1)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:35.037365Z","iopub.execute_input":"2024-11-05T14:32:35.037875Z","iopub.status.idle":"2024-11-05T14:32:35.045532Z","shell.execute_reply.started":"2024-11-05T14:32:35.037814Z","shell.execute_reply":"2024-11-05T14:32:35.043702Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"knn2.fit(X_train_pca, y_train)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:35.047591Z","iopub.execute_input":"2024-11-05T14:32:35.049031Z","iopub.status.idle":"2024-11-05T14:32:35.086841Z","shell.execute_reply.started":"2024-11-05T14:32:35.048952Z","shell.execute_reply":"2024-11-05T14:32:35.085327Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"y_pred_pca = knn2.predict(X_test_pca)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:35.088980Z","iopub.execute_input":"2024-11-05T14:32:35.096302Z","iopub.status.idle":"2024-11-05T14:32:37.122020Z","shell.execute_reply.started":"2024-11-05T14:32:35.096207Z","shell.execute_reply":"2024-11-05T14:32:37.120828Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"accuracy_2 = accuracy_score(y_test, y_pred_pca)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:37.123509Z","iopub.execute_input":"2024-11-05T14:32:37.124023Z","iopub.status.idle":"2024-11-05T14:32:37.131386Z","shell.execute_reply.started":"2024-11-05T14:32:37.123963Z","shell.execute_reply":"2024-11-05T14:32:37.130027Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"accuracy_2","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:37.139043Z","iopub.execute_input":"2024-11-05T14:32:37.139551Z","iopub.status.idle":"2024-11-05T14:32:37.146912Z","shell.execute_reply.started":"2024-11-05T14:32:37.139498Z","shell.execute_reply":"2024-11-05T14:32:37.145748Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"code","source":"print(f\"Before applying PCA with full set of features 784 accuracy = {accuracy_1}\")\nprint(f\"Before applying PCA with full set of features 100 accuracy = {accuracy_2}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:37.148420Z","iopub.execute_input":"2024-11-05T14:32:37.148885Z","iopub.status.idle":"2024-11-05T14:32:37.158549Z","shell.execute_reply.started":"2024-11-05T14:32:37.148827Z","shell.execute_reply":"2024-11-05T14:32:37.157441Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Now let's see the effects of features on accuracy via PCA [*** Just for testing - Dont run these type of code in a local machine]","metadata":{}},{"cell_type":"code","source":"# for i in range(1,len(df.columns)-1):\n#     scaler = StandardScaler()\n#     X_train = scaler.fit_transform(X_train)\n#     X_test = scaler.transform(X_test)\n\n#     pca_ex = PCA(n_components=i)\n\n#     X_train_pca_ex = pca_ex.fit_transform(X_train)\n#     X_test_pca_ex = pca_ex.transform(X_test)\n\n#     knn2 = KNeighborsClassifier(n_jobs=-1)\n\n    \n#     knn2.fit(X_train_pca_ex, y_train)\n\n#     y_pred_pca_ex = knn2.predict(X_test_pca_ex)\n#     accuracy_2 = accuracy_score(y_test, y_pred_pca_ex)\n\n#     print(f\" Accuracy Score with {i} no of principle component: {accuracy_2}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:37.160217Z","iopub.execute_input":"2024-11-05T14:32:37.160706Z","iopub.status.idle":"2024-11-05T14:32:37.171144Z","shell.execute_reply.started":"2024-11-05T14:32:37.160645Z","shell.execute_reply":"2024-11-05T14:32:37.170024Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"The reason PCA is used mostly :\n1. Reduce the dimension without losing the essence and information.\n2.  Visualizing high dimensional data by taking it to lower dimensions.","metadata":{}},{"cell_type":"markdown","source":"Visualizing the dataset in lower dimension","metadata":{}},{"cell_type":"code","source":"# transforming to a 2D coordinate system\npca2 = PCA(n_components=2)\nX_train_trf_2d = pca2.fit_transform(X_train)\nX_test_trf_2d = pca2.transform(X_test)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:37.172476Z","iopub.execute_input":"2024-11-05T14:32:37.172827Z","iopub.status.idle":"2024-11-05T14:32:38.240862Z","shell.execute_reply.started":"2024-11-05T14:32:37.172789Z","shell.execute_reply":"2024-11-05T14:32:38.239036Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"X_train_trf_2d.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:38.243173Z","iopub.execute_input":"2024-11-05T14:32:38.243669Z","iopub.status.idle":"2024-11-05T14:32:38.253472Z","shell.execute_reply.started":"2024-11-05T14:32:38.243610Z","shell.execute_reply":"2024-11-05T14:32:38.251872Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import plotly.express as px\nimport plotly.io as pio\npio.renderers.default = 'notebook'\n\ny_train_trf = y_train.astype(str)\nfig = px.scatter(x=X_train_trf_2d[:,0],\n                 y=X_train_trf_2d[:,1],\n                 color=y_train_trf,\n                 color_discrete_sequence=px.colors.qualitative.G10\n                )\nfig.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:38.255705Z","iopub.execute_input":"2024-11-05T14:32:38.256231Z","iopub.status.idle":"2024-11-05T14:32:39.361896Z","shell.execute_reply.started":"2024-11-05T14:32:38.256173Z","shell.execute_reply":"2024-11-05T14:32:39.360715Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# transforming in 3D\npca3 = PCA(n_components=3)\nX_train_trf_3d = pca3.fit_transform(X_train)\nX_test_trf_3d = pca3.transform(X_test)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:39.363264Z","iopub.execute_input":"2024-11-05T14:32:39.363614Z","iopub.status.idle":"2024-11-05T14:32:40.518441Z","shell.execute_reply.started":"2024-11-05T14:32:39.363576Z","shell.execute_reply":"2024-11-05T14:32:40.516819Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"X_train_trf_3d.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:40.520205Z","iopub.execute_input":"2024-11-05T14:32:40.521339Z","iopub.status.idle":"2024-11-05T14:32:40.530181Z","shell.execute_reply.started":"2024-11-05T14:32:40.521279Z","shell.execute_reply":"2024-11-05T14:32:40.528956Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import plotly.express as px\nimport plotly.io as pio\n\n# Ensure plotly displays properly in Jupyter\npio.renderers.default = 'notebook'  # Set renderer to display in notebook\n\n# Convert labels to string if not already\ny_train_trf_3d = y_train.astype(str)\n\n# Check dimensions of X_train_trf_3d\nif X_train_trf_3d.shape[1] >= 3:  # Ensure at least 3 dimensions\n    fig = px.scatter_3d(x=X_train_trf_3d[:,0], y=X_train_trf_3d[:,1], z=X_train_trf_3d[:,2],\n                        color=y_train_trf_3d)\n    fig.update_layout(\n        margin=dict(l=20, r=20, t=20, b=20),\n        paper_bgcolor=\"LightSteelBlue\",\n    )\n    fig.show()\nelse:\n    print(\"X_train_trf_3d does not have enough dimensions for a 3D plot.\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:40.532226Z","iopub.execute_input":"2024-11-05T14:32:40.533008Z","iopub.status.idle":"2024-11-05T14:32:40.828941Z","shell.execute_reply.started":"2024-11-05T14:32:40.532920Z","shell.execute_reply":"2024-11-05T14:32:40.827686Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"pca.explained_variance_\n# Eigen values","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:40.830360Z","iopub.execute_input":"2024-11-05T14:32:40.830719Z","iopub.status.idle":"2024-11-05T14:32:40.839262Z","shell.execute_reply.started":"2024-11-05T14:32:40.830681Z","shell.execute_reply":"2024-11-05T14:32:40.838202Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"pca.components_.shape\n# Eigen vectors","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:40.840754Z","iopub.execute_input":"2024-11-05T14:32:40.841206Z","iopub.status.idle":"2024-11-05T14:32:40.853114Z","shell.execute_reply.started":"2024-11-05T14:32:40.841162Z","shell.execute_reply":"2024-11-05T14:32:40.851989Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Finding an optimum number of principal components. We know that eigenvalues are denoted with lambda. and after applying PCA over a 784 feature space we will get 784 eigenvectors and their 784 corresponding eigenvalues, now each eigenvalue itself represents how much variance it can explain of the original data. That is why it's also called explained variance. Now to find the optimal number of components we need to cumulatively sum the lambda value up to a certain level. But before that we need to convert this lambda values to a percentage level just by taking\n**[a particular lamda value/ sum of all lamda value] x 100**","metadata":{}},{"cell_type":"code","source":"# This automatically finds the ratio (lamda/sum of lamda)\npca.explained_variance_ratio_","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:40.854597Z","iopub.execute_input":"2024-11-05T14:32:40.855110Z","iopub.status.idle":"2024-11-05T14:32:40.868029Z","shell.execute_reply.started":"2024-11-05T14:32:40.854978Z","shell.execute_reply":"2024-11-05T14:32:40.866836Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Lets perform a fresh PCA over the dataset","metadata":{}},{"cell_type":"code","source":"pca_latest = PCA(n_components=None)\nX_train_trf_latest = pca_latest.fit_transform(X_train)\nX_test_trf_latest = pca_latest.transform(X_test)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:40.869614Z","iopub.execute_input":"2024-11-05T14:32:40.870077Z","iopub.status.idle":"2024-11-05T14:32:45.069095Z","shell.execute_reply.started":"2024-11-05T14:32:40.870025Z","shell.execute_reply":"2024-11-05T14:32:45.067470Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"pca_latest.explained_variance_.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:45.071498Z","iopub.execute_input":"2024-11-05T14:32:45.072559Z","iopub.status.idle":"2024-11-05T14:32:45.083008Z","shell.execute_reply.started":"2024-11-05T14:32:45.072476Z","shell.execute_reply":"2024-11-05T14:32:45.081408Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"pca_latest.components_.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:45.085668Z","iopub.execute_input":"2024-11-05T14:32:45.086951Z","iopub.status.idle":"2024-11-05T14:32:45.100486Z","shell.execute_reply.started":"2024-11-05T14:32:45.086663Z","shell.execute_reply":"2024-11-05T14:32:45.098925Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"np.cumsum(pca_latest.explained_variance_ratio_)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:45.103197Z","iopub.execute_input":"2024-11-05T14:32:45.104408Z","iopub.status.idle":"2024-11-05T14:32:45.135914Z","shell.execute_reply.started":"2024-11-05T14:32:45.104325Z","shell.execute_reply":"2024-11-05T14:32:45.134406Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"plt.plot(np.cumsum(pca_latest.explained_variance_ratio_))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-05T14:32:45.138586Z","iopub.execute_input":"2024-11-05T14:32:45.139718Z","iopub.status.idle":"2024-11-05T14:32:45.395319Z","shell.execute_reply.started":"2024-11-05T14:32:45.139639Z","shell.execute_reply":"2024-11-05T14:32:45.394064Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"So, almost 200 principle components are enough to represent 90% of the variance in the data","metadata":{}}]}