Now that we have knowledge about categorical variables, let’s look at the options for encoding them using Pandas and Scikit-learn. Find and replace The simplest method of encoding categorical data is with find and replace. The replace() method replaces each matching occurrence of the old chara...
The “Reporting Airline” feature in the Airline dataset is a categorical variable with nine character types: “AA”, “AS”, “B6”, “DL”, “HP”, “PA (1)”, “TW”, “UA” or “VX”. You’ll need to convert these variables into a numeric format for further investigation. Con...
(tf.keras.layers.Dense(3))model.add(tf.keras.layers.Activation("softmax"))adam=tf.keras.optimizers.Adam(lr=0.01)model.compile(loss='categorical_crossentropy',optimizer=adam,metrics=['accuracy'])model.summary()reult=model.fit(x_data,y_data,shuffle=True,epochs=10,batch_size=2,validation_data...