Update app.py

app.py

@@ -5,6 +5,7 @@ import matplotlib.pyplot as plt
 import yfinance as yf
 yf.pdr_override()
 from pandas_datareader import data as pdr
+from sklearn.preprocessing import MinMaxScaler
 
 start = '2005-01-01'
 end = '2022-12-31'
@@ -38,4 +39,9 @@ plt.plot(df.Close, label="Closing Price")
 plt.plot(moving_avg_100,'red', label="100 Moving Average")
 plt.plot(moving_avg_200,'green', label="200 Moving Average")
 plt.legend()
-st.pyplot(fig)
+st.pyplot(fig)
+
+#Spliting Data in Training and Testing Data
+data_training = pd.DataFrame(df["Close"][0:int(len(df)*0.70)])
+data_testing = pd.DataFrame(df["Close"][int(len(df)*0.70):int(len(df))])
+