{"id":146624,"date":"2025-08-18T12:34:35","date_gmt":"2025-08-18T07:04:35","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=146624"},"modified":"2025-08-18T12:34:35","modified_gmt":"2025-08-18T07:04:35","slug":"facial-expression-recognition-using-machine-learning","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/facial-expression-recognition-using-machine-learning\/","title":{"rendered":"ML Project &#8211; Facial Expression Recognition using Gradient Boosting"},"content":{"rendered":"<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1OgBjlH0e-h0T_kK9scmYywaNF18KPqY_\/view?usp=sharing\"><strong>Facial Expression Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nimport numpy as np\r\nfrom sklearn.ensemble import GradientBoostingClassifier\r\nfrom sklearn.model_selection import train_test_split\r\nfrom sklearn.metrics import classification_report, confusion_matrix\r\nfrom sklearn.preprocessing import LabelEncoder\r\nimport matplotlib.pyplot as plt\r\nimport seaborn as sns\r\n\r\n# Generate synthetic facial expression data (for demonstration)\r\nnp.random.seed(42)\r\nn_samples = 1000\r\ndata = {\r\n    'eyebrow_angle': np.random.normal(20, 5, n_samples),\r\n    'eye_openness': np.random.normal(0.6, 0.1, n_samples),\r\n    'mouth_curve': np.random.normal(0, 1, n_samples),\r\n    'cheek_raise': np.random.normal(0.5, 0.2, n_samples),\r\n    'expression': np.random.choice(['happy', 'sad', 'angry'], size=n_samples)\r\n}\r\ndf = pd.DataFrame(data)\r\ndf.head()\r\n\r\n# Encode labels\r\nle = LabelEncoder()\r\ndf['expression'] = le.fit_transform(df['expression'])  # happy=0, sad=1, angry=2\r\ndf.head()\r\n\r\n# Features and labels\r\nX = df.drop('expression', axis=1) # Independed vairable (Input)\r\ny = df['expression'] # Depended variabels(output)\r\nX.head()\r\ny.head()\r\n\r\n# Train-test split\r\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\r\n\r\n# Model\r\nmodel = GradientBoostingClassifier()\r\nmodel.fit(X_train, y_train)\r\n\r\ny_pred = model.predict(X_test)\r\ny_pred\r\nmodel.score(X_test,y_pred)\r\n\r\n# Confusion matrix and report\r\ncm = confusion_matrix(y_test, y_pred)\r\ncm\r\n\r\n# Save dataset\r\ncsv_path = \"D:\/\/scikit_data\/facial_expression_data.csv\"\r\ndf.to_csv(csv_path, index=False)\r\n\r\n# Plot confusion matrix\r\nplt.figure(figsize=(6, 4))\r\nsns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\r\n            xticklabels=le.classes_, yticklabels=le.classes_)\r\nplt.xlabel(\"Predicted\")\r\nplt.ylabel(\"Actual\")\r\nplt.title(\"Confusion Matrix - Facial Expression Recognition\")\r\nplt.tight_layout()\r\nplt.show()\r\n\r\n# happy=0, sad=1, angry=2<\/pre>\n<p>&nbsp;<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:15,&quot;href&quot;:&quot;https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1OgBjlH0e-h0T_kK9scmYywaNF18KPqY_\\\/view?usp=sharing&quot;,&quot;archived_href&quot;:&quot;&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[],&quot;broken&quot;:false,&quot;last_checked&quot;:null,&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Facial Expression Dataset import pandas as pd import numpy as np from sklearn.ensemble import GradientBoostingClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report, confusion_matrix from sklearn.preprocessing import LabelEncoder import matplotlib.pyplot as plt&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[35081,35082,35083,8431,33127,33128,35084,20697],"class_list":["post-146624","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-facial-expression-recognition","tag-facial-expression-recognition-using-gradient-boosting","tag-facial-expression-recognition-using-machine-learning","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-program-on-facial-expression-recognition","tag-machine-learning-project"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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