LSTM-based opening price and closing price prediction actual combat complete code data detailed tutorial - Code World

LSTM-based opening price and closing price prediction actual combat complete code data detailed tutorial

Enterprise 2023-08-12 20:41:42 views: null

import numpy as np
import pandas as pd

import os
import matplotlib.pyplot as plt
import datetime as dt

from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, LSTM
from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping

data=pd.read_csv('/home/mw/input/alibaba8326/BABA.csv')
data[0:3]

n=len(data)
train_data=data[(n//20)*14:(n//20)*19]
test_data=data[(n//20)*19:]

plt.plot(train_data['Open'], label='Train')
plt.plot(test_data['Open'], label='Test')
plt.legend()

scaler = MinMaxScaler(feature_range=(0,1))
scaled_data = sc

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Origin blog.csdn.net/pythonyanyan/article/details/131927967

LSTM-based opening price and closing price prediction actual combat complete code data detailed tutorial

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