Onnowpurbo at 01:11, 6 August 2019

2019-08-06T01:11:57Z

Onnowpurbo at 01:10, 6 August 2019

2019-08-06T01:10:24Z

Onnowpurbo: Onnowpurbo moved page Keras-timeseries-stock-tata-prediect to Keras-timeseries-stock-tata-predict

2019-08-06T01:10:04Z

Onnowpurbo moved page Keras-timeseries-stock-tata-prediect to Keras-timeseries-stock-tata-predict

Onnowpurbo: Created page with "Sumber: https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html"

2019-08-06T01:09:49Z

Created page with "Sumber: https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html"

New page

Sumber: https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html

← Older revision		Revision as of 01:11, 6 August 2019
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		+	# '''
		+	# https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html
		+	# '''
		+
		+	import numpy as np
		+	import matplotlib.pyplot as plt
		+	import pandas as pd
		+
		+	# https://raw.githubusercontent.com/mwitiderrick/stockprice/master/NSE-TATAGLOBAL.csv
		+	dataset_train = pd.read_csv('NSE-TATAGLOBAL.csv')
		+	training_set = dataset_train.iloc[:, 1:2].values
		+
		+	# check head
		+	dataset_train.head()
		+
		+	# scaling
		+	from sklearn.preprocessing import MinMaxScaler
		+	sc = MinMaxScaler(feature_range = (0, 1))
		+	training_set_scaled = sc.fit_transform(training_set)
		+
		+	# create data with time step
		+	X_train = []
		+	y_train = []
		+	for i in range(60, 2035):
		+	X_train.append(training_set_scaled[i-60:i, 0])
		+	y_train.append(training_set_scaled[i, 0])
		+	X_train, y_train = np.array(X_train), np.array(y_train)
		+
		+	X_train = np.reshape(X_train, (X_train.shape[0], X_train.shape[1], 1))
		+
		+	# train
		+	from keras.models import Sequential
		+	from keras.layers import Dense
		+	from keras.layers import LSTM
		+	from keras.layers import Dropout
		+
		+	regressor = Sequential()
		+	regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], 1)))
		+	regressor.add(Dropout(0.2))
		+	regressor.add(LSTM(units = 50, return_sequences = True))
		+	regressor.add(Dropout(0.2))
		+	regressor.add(LSTM(units = 50, return_sequences = True))
		+	regressor.add(Dropout(0.2))
		+	regressor.add(LSTM(units = 50))
		+	regressor.add(Dropout(0.2))
		+	regressor.add(Dense(units = 1))
		+	regressor.compile(optimizer = 'adam', loss = 'mean_squared_error')
		+	regressor.fit(X_train, y_train, epochs = 100, batch_size = 32)
		+
		+	# test
		+	# https://raw.githubusercontent.com/mwitiderrick/stockprice/master/tatatest.csv
		+	dataset_test = pd.read_csv('tatatest.csv')
		+	real_stock_price = dataset_test.iloc[:, 1:2].values
		+
		+	dataset_total = pd.concat((dataset_train['Open'], dataset_test['Open']), axis = 0)
		+	inputs = dataset_total[len(dataset_total) - len(dataset_test) - 60:].values
		+	inputs = inputs.reshape(-1,1)
		+	inputs = sc.transform(inputs)
		+	X_test = []
		+	for i in range(60, 76):
		+	X_test.append(inputs[i-60:i, 0])
		+	X_test = np.array(X_test)
		+	X_test = np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1))
		+	predicted_stock_price = regressor.predict(X_test)
		+	predicted_stock_price = sc.inverse_transform(predicted_stock_price)
		+
		+	# Plot
		+	plt.plot(real_stock_price, color = 'black', label = 'TATA Stock Price')
		+	plt.plot(predicted_stock_price, color = 'green', label = 'Predicted TATA Stock Price')
		+	plt.title('TATA Stock Price Prediction')
		+	plt.xlabel('Time')
		+	plt.ylabel('TATA Stock Price')
		+	plt.legend()
		+	plt.show()

	==Pranala Menarik==		==Pranala Menarik==

	* [[Keras]]		* [[Keras]]

← Older revision		Revision as of 01:10, 6 August 2019
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	Sumber: https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html		Sumber: https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html
		+
		+
		+
		+
		+	==Pranala Menarik==
		+
		+	* [[Keras]]

← Older revision	Revision as of 01:10, 6 August 2019
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Keras-timeseries-stock-tata-predict - Revision history

Onnowpurbo at 01:11, 6 August 2019

Onnowpurbo at 01:10, 6 August 2019

Onnowpurbo: Onnowpurbo moved page Keras-timeseries-stock-tata-prediect to Keras-timeseries-stock-tata-predict

Onnowpurbo: Created page with "Sumber: https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html"