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chore: 添加Stock-Prediction-Models项目文件

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添加了Stock-Prediction-Models项目的多个文件，包括数据集、模型代码、README文档和CSS样式文件。这些文件用于股票预测模型的训练和展示，涵盖了LSTM、GRU等深度学习模型的应用。
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2025-04-27 16:28:06 +08:00
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5.课程代码/4.Stock-Prediction-Models/使用文档/Stock-Prediction-Models-master/dataset/GOOG.csv Normal file
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Date,Open,High,Low,Close,Adj Close,Volume
2017-10-02,959.979980,962.539978,947.840027,953.270020,953.270020,1283400
2017-10-03,954.000000,958.000000,949.140015,957.789978,957.789978,888300
2017-10-04,957.000000,960.390015,950.690002,951.679993,951.679993,952400
2017-10-05,955.489990,970.909973,955.179993,969.960022,969.960022,1213800
2017-10-06,966.700012,979.460022,963.359985,978.890015,978.890015,1173900
2017-10-09,980.000000,985.424988,976.109985,977.000000,977.000000,891400
2017-10-10,980.000000,981.570007,966.080017,972.599976,972.599976,968400
2017-10-11,973.719971,990.710022,972.250000,989.250000,989.250000,1693300
2017-10-12,987.450012,994.119995,985.000000,987.830017,987.830017,1262400
2017-10-13,992.000000,997.210022,989.000000,989.679993,989.679993,1169800
2017-10-16,992.099976,993.906982,984.000000,992.000000,992.000000,910500
2017-10-17,990.289978,996.440002,988.590027,992.179993,992.179993,1290200
2017-10-18,991.770020,996.719971,986.974976,992.809998,992.809998,1057600
2017-10-19,986.000000,988.880005,978.390015,984.450012,984.450012,1313600
2017-10-20,989.440002,991.000000,984.580017,988.200012,988.200012,1183200
2017-10-23,989.520020,989.520020,966.119995,968.450012,968.450012,1478400
2017-10-24,970.000000,972.229980,961.000000,970.539978,970.539978,1212200
2017-10-25,968.369995,976.090027,960.520020,973.330017,973.330017,1211300
2017-10-26,980.000000,987.599976,972.200012,972.559998,972.559998,2042100
2017-10-27,1009.190002,1048.390015,1008.200012,1019.270020,1019.270020,5167700
2017-10-30,1014.000000,1024.969971,1007.500000,1017.109985,1017.109985,2085100
2017-10-31,1015.219971,1024.000000,1010.419983,1016.640015,1016.640015,1330700
2017-11-01,1017.210022,1029.670044,1016.950012,1025.500000,1025.500000,1373444
1 Date Open High Low Close Adj Close Volume
2 2017-10-02 959.979980 962.539978 947.840027 953.270020 953.270020 1283400
3 2017-10-03 954.000000 958.000000 949.140015 957.789978 957.789978 888300
4 2017-10-04 957.000000 960.390015 950.690002 951.679993 951.679993 952400
5 2017-10-05 955.489990 970.909973 955.179993 969.960022 969.960022 1213800
6 2017-10-06 966.700012 979.460022 963.359985 978.890015 978.890015 1173900
7 2017-10-09 980.000000 985.424988 976.109985 977.000000 977.000000 891400
8 2017-10-10 980.000000 981.570007 966.080017 972.599976 972.599976 968400
9 2017-10-11 973.719971 990.710022 972.250000 989.250000 989.250000 1693300
10 2017-10-12 987.450012 994.119995 985.000000 987.830017 987.830017 1262400
11 2017-10-13 992.000000 997.210022 989.000000 989.679993 989.679993 1169800
12 2017-10-16 992.099976 993.906982 984.000000 992.000000 992.000000 910500
13 2017-10-17 990.289978 996.440002 988.590027 992.179993 992.179993 1290200
14 2017-10-18 991.770020 996.719971 986.974976 992.809998 992.809998 1057600
15 2017-10-19 986.000000 988.880005 978.390015 984.450012 984.450012 1313600
16 2017-10-20 989.440002 991.000000 984.580017 988.200012 988.200012 1183200
17 2017-10-23 989.520020 989.520020 966.119995 968.450012 968.450012 1478400
18 2017-10-24 970.000000 972.229980 961.000000 970.539978 970.539978 1212200
19 2017-10-25 968.369995 976.090027 960.520020 973.330017 973.330017 1211300
20 2017-10-26 980.000000 987.599976 972.200012 972.559998 972.559998 2042100
21 2017-10-27 1009.190002 1048.390015 1008.200012 1019.270020 1019.270020 5167700
22 2017-10-30 1014.000000 1024.969971 1007.500000 1017.109985 1017.109985 2085100
23 2017-10-31 1015.219971 1024.000000 1010.419983 1016.640015 1016.640015 1330700
24 2017-11-01 1017.210022 1029.670044 1016.950012 1025.500000 1025.500000 1373444