{"id":924,"date":"2025-01-12T10:16:05","date_gmt":"2025-01-12T02:16:05","guid":{"rendered":"https:\/\/www.laixuexila.com\/?p=924"},"modified":"2025-01-12T10:16:05","modified_gmt":"2025-01-12T02:16:05","slug":"python%e5%9c%a8%e6%95%b0%e6%8d%ae%e7%a7%91%e5%ad%a6%e9%a1%b9%e7%9b%ae%e4%b8%ad%e7%9a%84%e5%ba%94%e7%94%a8%ef%bc%9a%e5%ae%9e%e6%88%98%e6%a1%88%e4%be%8b%e8%a7%a3%e6%9e%90","status":"publish","type":"post","link":"https:\/\/www.laixuexila.com\/index.php\/2025\/01\/12\/python%e5%9c%a8%e6%95%b0%e6%8d%ae%e7%a7%91%e5%ad%a6%e9%a1%b9%e7%9b%ae%e4%b8%ad%e7%9a%84%e5%ba%94%e7%94%a8%ef%bc%9a%e5%ae%9e%e6%88%98%e6%a1%88%e4%be%8b%e8%a7%a3%e6%9e%90\/","title":{"rendered":"Python\u5728\u6570\u636e\u79d1\u5b66\u9879\u76ee\u4e2d\u7684\u5e94\u7528\uff1a\u5b9e\u6218\u6848\u4f8b\u89e3\u6790"},"content":{"rendered":"\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Python \u662f\u6570\u636e\u79d1\u5b66\u9886\u57df\u4e2d\u6700\u53d7\u6b22\u8fce\u7684\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\uff0c\u5f97\u76ca\u4e8e\u5176\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\uff0cPython \u5728\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u3001\u6570\u636e\u53ef\u89c6\u5316\u7b49\u65b9\u9762\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5178\u578b\u7684 Python \u6570\u636e\u79d1\u5b66\u5b9e\u6218\u6848\u4f8b\uff0c\u6db5\u76d6\u4e86\u4ece\u6570\u636e\u5904\u7406\u5230\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u5e94\u7528\uff0c\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5229\u7528 Python \u8fdb\u884c\u6570\u636e\u79d1\u5b66\u9879\u76ee\u3002<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e00\u3001\u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u6570\u636e\u79d1\u5b66\u9879\u76ee\u7684\u7b2c\u4e00\u6b65\u5f80\u5f80\u662f\u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406\uff0c\u6570\u636e\u5f80\u5f80\u5305\u542b\u8bb8\u591a\u566a\u97f3\u3001\u4e0d\u5b8c\u6574\u7684\u8bb0\u5f55\u6216\u8005\u9700\u8981\u8f6c\u6362\u7684\u683c\u5f0f\u3002Python \u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\u5de5\u5177\uff0c\u5c24\u5176\u662f <code>Pandas<\/code> \u5e93\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">1. <strong>\u6848\u4f8b\uff1a\u7535\u5546\u8ba2\u5355\u6570\u636e\u6e05\u6d17<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\u9898\u63cf\u8ff0<\/strong>\uff1a\u7535\u5546\u5e73\u53f0\u7684\u8ba2\u5355\u6570\u636e\u53ef\u80fd\u5305\u542b\u7f3a\u5931\u503c\u3001\u91cd\u590d\u503c\u6216\u683c\u5f0f\u9519\u8bef\u7684\u65e5\u671f\u4fe1\u606f\uff0c\u9700\u8981\u6e05\u6d17\u5e76\u6574\u7406\u6210\u5408\u9002\u7684\u683c\u5f0f\uff0c\u4ee5\u4fbf\u540e\u7eed\u5206\u6790\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u89e3\u51b3\u65b9\u6848<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Pandas<\/code> \u5bfc\u5165\u6570\u636e\u5e76\u8fdb\u884c\u68c0\u67e5<\/li>\n\n\n\n<li>\u4f7f\u7528 <code>dropna()<\/code> \u6216 <code>fillna()<\/code> \u5904\u7406\u7f3a\u5931\u503c<\/li>\n\n\n\n<li>\u4f7f\u7528 <code>drop_duplicates()<\/code> \u53bb\u9664\u91cd\u590d\u8bb0\u5f55<\/li>\n\n\n\n<li>\u683c\u5f0f\u5316\u65e5\u671f\u5b57\u6bb5\uff0c\u786e\u4fdd\u4e00\u81f4\u6027<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\n\n# \u5bfc\u5165\u6570\u636e\ndf = pd.read_csv('orders.csv')\n\n# \u68c0\u67e5\u6570\u636e\u7c7b\u578b\u548c\u7f3a\u5931\u503c\ndf.info()\n\n# \u5904\u7406\u7f3a\u5931\u503c\ndf = df.fillna({'product_name': 'Unknown', 'order_date': '2021-01-01'})\n\n# \u53bb\u9664\u91cd\u590d\u8bb0\u5f55\ndf = df.drop_duplicates()\n\n# \u683c\u5f0f\u5316\u65e5\u671f\ndf&#91;'order_date'] = pd.to_datetime(df&#91;'order_date'])<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5b66\u4e60\u76ee\u6807<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Pandas<\/code> \u8fdb\u884c\u6570\u636e\u6e05\u7406<\/li>\n\n\n\n<li>\u5904\u7406\u7f3a\u5931\u503c\u548c\u91cd\u590d\u503c<\/li>\n\n\n\n<li>\u683c\u5f0f\u5316\u6570\u636e\u4ee5\u9002\u5e94\u5206\u6790\u9700\u6c42<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e8c\u3001\u6570\u636e\u63a2\u7d22\u4e0e\u53ef\u89c6\u5316<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u6570\u636e\u63a2\u7d22\u4e0e\u53ef\u89c6\u5316\u662f\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u7684\u7ed3\u6784\u548c\u5206\u5e03\u3002Python \u4e2d\u7684 <code>Matplotlib<\/code>\u3001<code>Seaborn<\/code> \u548c <code>Plotly<\/code> \u7b49\u5e93\u662f\u5b9e\u73b0\u6570\u636e\u53ef\u89c6\u5316\u7684\u5e38\u7528\u5de5\u5177\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">2. <strong>\u6848\u4f8b\uff1a\u9500\u552e\u6570\u636e\u7684\u53ef\u89c6\u5316<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\u9898\u63cf\u8ff0<\/strong>\uff1a\u4f60\u6709\u4e00\u4efd\u9500\u552e\u6570\u636e\uff0c\u60f3\u901a\u8fc7\u56fe\u8868\u5c55\u793a\u4e0d\u540c\u6708\u4efd\u7684\u9500\u552e\u8d8b\u52bf\uff0c\u5e76\u4e14\u5206\u6790\u67d0\u4e9b\u4ea7\u54c1\u7c7b\u522b\u7684\u9500\u552e\u5206\u5e03\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u89e3\u51b3\u65b9\u6848<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Matplotlib<\/code> \u6216 <code>Seaborn<\/code> \u7ed8\u5236\u6298\u7ebf\u56fe\u5c55\u793a\u9500\u552e\u8d8b\u52bf<\/li>\n\n\n\n<li>\u4f7f\u7528\u6761\u5f62\u56fe\u5206\u6790\u4e0d\u540c\u4ea7\u54c1\u7c7b\u522b\u7684\u9500\u552e\u989d<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>import matplotlib.pyplot as plt\nimport seaborn as sns\n\n# \u7ed8\u5236\u9500\u552e\u8d8b\u52bf\u56fe\nplt.figure(figsize=(10, 6))\nplt.plot(df&#91;'order_date'], df&#91;'sales'], label='Sales')\nplt.title('Monthly Sales Trend')\nplt.xlabel('Date')\nplt.ylabel('Sales')\nplt.legend()\nplt.show()\n\n# \u7ed8\u5236\u4ea7\u54c1\u7c7b\u522b\u9500\u552e\u5206\u5e03\u56fe\nplt.figure(figsize=(10, 6))\nsns.barplot(x='product_category', y='sales', data=df)\nplt.title('Sales by Product Category')\nplt.xlabel('Product Category')\nplt.ylabel('Sales')\nplt.xticks(rotation=45)\nplt.show()<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5b66\u4e60\u76ee\u6807<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Matplotlib<\/code> \u548c <code>Seaborn<\/code> \u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/li>\n\n\n\n<li>\u7ed8\u5236\u5e38\u89c1\u7684\u56fe\u8868\uff08\u6298\u7ebf\u56fe\u3001\u6761\u5f62\u56fe\u7b49\uff09<\/li>\n\n\n\n<li>\u901a\u8fc7\u53ef\u89c6\u5316\u5de5\u5177\u5206\u6790\u6570\u636e\u7684\u5206\u5e03\u548c\u8d8b\u52bf<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e09\u3001\u673a\u5668\u5b66\u4e60\u5e94\u7528<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u673a\u5668\u5b66\u4e60\u662f\u6570\u636e\u79d1\u5b66\u4e2d\u7684\u4e00\u4e2a\u6838\u5fc3\u9886\u57df\uff0cPython \u7684 <code>Scikit-learn<\/code> \u548c <code>XGBoost<\/code> \u7b49\u5e93\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u6784\u5efa\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u652f\u6301\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">3. <strong>\u6848\u4f8b\uff1a\u9884\u6d4b\u623f\u4ef7\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\u9898\u63cf\u8ff0<\/strong>\uff1a\u4f60\u6709\u4e00\u4efd\u623f\u5c4b\u6570\u636e\u96c6\uff0c\u60f3\u8981\u9884\u6d4b\u623f\u4ef7\u3002\u6570\u636e\u5305\u542b\u4e86\u623f\u5c4b\u7684\u5404\u79cd\u7279\u5f81\uff0c\u5982\u9762\u79ef\u3001\u4f4d\u7f6e\u3001\u623f\u9f84\u7b49\u3002\u4f60\u9700\u8981\u6784\u5efa\u4e00\u4e2a\u56de\u5f52\u6a21\u578b\u6765\u9884\u6d4b\u623f\u4ef7\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u89e3\u51b3\u65b9\u6848<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Scikit-learn<\/code> \u4e2d\u7684 <code>LinearRegression<\/code> \u6216 <code>RandomForestRegressor<\/code> \u6a21\u578b\u8fdb\u884c\u9884\u6d4b<\/li>\n\n\n\n<li>\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\uff0c\u5982\u6807\u51c6\u5316\u548c\u7279\u5f81\u9009\u62e9<\/li>\n\n\n\n<li>\u5206\u5272\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u8bc4\u4f30\u6a21\u578b\u7684\u8868\u73b0<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.metrics import mean_squared_error\nfrom sklearn.preprocessing import StandardScaler\n\n# \u7279\u5f81\u548c\u76ee\u6807\u53d8\u91cf\nX = df&#91;&#91;'area', 'age', 'num_rooms', 'location']]\ny = df&#91;'price']\n\n# \u6570\u636e\u9884\u5904\u7406\nscaler = StandardScaler()\nX_scaled = scaler.fit_transform(X)\n\n# \u6570\u636e\u62c6\u5206\nX_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)\n\n# \u6784\u5efa\u56de\u5f52\u6a21\u578b\nmodel = LinearRegression()\nmodel.fit(X_train, y_train)\n\n# \u9884\u6d4b\ny_pred = model.predict(X_test)\n\n# \u8bc4\u4f30\u6a21\u578b\nmse = mean_squared_error(y_test, y_pred)\nprint(f'Mean Squared Error: {mse}')<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5b66\u4e60\u76ee\u6807<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Scikit-learn<\/code> \u6784\u5efa\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/li>\n\n\n\n<li>\u638c\u63e1\u6570\u636e\u9884\u5904\u7406\u548c\u7279\u5f81\u5de5\u7a0b<\/li>\n\n\n\n<li>\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u5e76\u8fdb\u884c\u8c03\u6574<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u56db\u3001\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u5904\u7406\u66f4\u590d\u6742\u7684\u6570\u636e\u96c6\uff08\u5982\u56fe\u50cf\u3001\u6587\u672c\uff09\u65f6\uff0c\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u901a\u5e38\u80fd\u63d0\u4f9b\u66f4\u597d\u7684\u8868\u73b0\u3002Python \u7684 <code>TensorFlow<\/code> \u548c <code>Keras<\/code> \u5e93\u662f\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u4e2d\u5e38\u7528\u7684\u5de5\u5177\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">4. <strong>\u6848\u4f8b\uff1a\u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u56fe\u50cf\u5206\u7c7b<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u95ee\u9898\u63cf\u8ff0<\/strong>\uff1a\u4f60\u9700\u8981\u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u5bf9\u56fe\u50cf\u8fdb\u884c\u5206\u7c7b\uff0c\u5047\u8bbe\u4f60\u7684\u6570\u636e\u96c6\u5305\u542b\u732b\u548c\u72d7\u7684\u56fe\u50cf\u3002\u4f60\u9700\u8981\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u6765\u5b8c\u6210\u8fd9\u4e00\u4efb\u52a1\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u89e3\u51b3\u65b9\u6848<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Keras<\/code> \u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/li>\n\n\n\n<li>\u4f7f\u7528\u56fe\u50cf\u6570\u636e\u589e\u5f3a\u548c\u9884\u5904\u7406\u6280\u672f\u63d0\u9ad8\u6a21\u578b\u6548\u679c<\/li>\n\n\n\n<li>\u8bad\u7ec3\u5e76\u8bc4\u4f30\u6a21\u578b\u7684\u8868\u73b0<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>from keras.models import Sequential\nfrom keras.layers import Conv2D, MaxPooling2D, Flatten, Dense\nfrom keras.preprocessing.image import ImageDataGenerator\n\n# \u6570\u636e\u9884\u5904\u7406\u4e0e\u589e\u5f3a\ntrain_datagen = ImageDataGenerator(rescale=1.\/255, shear_range=0.2, zoom_range=0.2, horizontal_flip=True)\ntrain_generator = train_datagen.flow_from_directory('data\/train', target_size=(64, 64), batch_size=32, class_mode='binary')\n\n# \u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\nmodel = Sequential()\nmodel.add(Conv2D(32, (3, 3), input_shape=(64, 64, 3), activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2, 2)))\nmodel.add(Flatten())\nmodel.add(Dense(128, activation='relu'))\nmodel.add(Dense(1, activation='sigmoid'))\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer='adam', loss='binary_crossentropy', metrics=&#91;'accuracy'])\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(train_generator, epochs=10)\n\n# \u6a21\u578b\u8bc4\u4f30\nmodel.evaluate(test_generator)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5b66\u4e60\u76ee\u6807<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f7f\u7528 <code>Keras<\/code> \u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/li>\n\n\n\n<li>\u638c\u63e1\u56fe\u50cf\u9884\u5904\u7406\u548c\u6570\u636e\u589e\u5f3a\u6280\u672f<\/li>\n\n\n\n<li>\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u4e0e\u8bc4\u4f30<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e94\u3001\u603b\u7ed3<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Python \u5728\u6570\u636e\u79d1\u5b66\u9879\u76ee\u4e2d\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u6db5\u76d6\u4e86\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u7b49\u591a\u4e2a\u65b9\u9762\u3002\u901a\u8fc7\u4ee5\u4e0a\u7684\u5b9e\u6218\u6848\u4f8b\uff0c\u4f60\u53ef\u4ee5\u4e86\u89e3\u5982\u4f55\u5229\u7528 Python \u5904\u7406\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\uff0c\u6784\u5efa\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u5b9e\u73b0\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u3002\u65e0\u8bba\u662f\u57fa\u7840\u7684\u56de\u5f52\u5206\u6790\u8fd8\u662f\u590d\u6742\u7684\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\uff0cPython \u90fd\u80fd\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406<\/strong>\uff1a\u4f7f\u7528 <code>Pandas<\/code> \u5904\u7406\u7f3a\u5931\u503c\u3001\u91cd\u590d\u503c\u548c\u6570\u636e\u683c\u5f0f\u95ee\u9898\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u53ef\u89c6\u5316<\/strong>\uff1a\u901a\u8fc7 <code>Matplotlib<\/code> \u548c <code>Seaborn<\/code> \u5c55\u793a\u6570\u636e\u8d8b\u52bf\u548c\u5206\u5e03\u3002<\/li>\n\n\n\n<li><strong>\u673a\u5668\u5b66\u4e60\u5e94\u7528<\/strong>\uff1a\u4f7f\u7528 <code>Scikit-learn<\/code> \u6784\u5efa\u56de\u5f52\u3001\u5206\u7c7b\u6a21\u578b\u5e76\u8fdb\u884c\u8bc4\u4f30\u3002<\/li>\n\n\n\n<li><strong>\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528<\/strong>\uff1a\u5229\u7528 <code>Keras<\/code> \u548c <code>TensorFlow<\/code> \u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u56fe\u50cf\u5206\u7c7b\u3002<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u638c\u63e1\u8fd9\u4e9b\u6280\u672f\uff0c\u4f60\u5c06\u80fd\u5728\u6570\u636e\u79d1\u5b66\u9879\u76ee\u4e2d\u6e38\u5203\u6709\u4f59\uff0c\u9010\u6b65\u79ef\u7d2f\u7ecf\u9a8c\uff0c\u63d0\u5347\u81ea\u5df1\u7684\u6570\u636e\u5206\u6790\u4e0e\u5efa\u6a21\u80fd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python \u662f\u6570\u636e\u79d1\u5b66\u9886\u57df\u4e2d\u6700\u53d7\u6b22\u8fce\u7684\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\uff0c\u5f97\u76ca\u4e8e\u5176\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\uff0cPython \u5728\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[54],"tags":[],"class_list":["post-924","post","type-post","status-publish","format-standard","hentry","category-python"],"_links":{"self":[{"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/posts\/924","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/comments?post=924"}],"version-history":[{"count":1,"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/posts\/924\/revisions"}],"predecessor-version":[{"id":925,"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/posts\/924\/revisions\/925"}],"wp:attachment":[{"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/media?parent=924"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/categories?post=924"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.laixuexila.com\/index.php\/wp-json\/wp\/v2\/tags?post=924"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}