machine learning
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@ -6,5 +6,10 @@ RUN pacman -S python-pip --noconfirm
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RUN pip install --user kaggle
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RUN pip install --user kaggle
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RUN pip install --user pandas
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RUN pip install --user pandas
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RUN pip install --user torch
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RUN pip install --user numpy
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RUN pip install --user matplotlib
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RUN pip install --user seaborn
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COPY ./data.sh /home/data/data.sh
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COPY ./data.sh /home/data/data.sh
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COPY ./ml.py /home/data/ml.py
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19
ml.py
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19
ml.py
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@ -0,0 +1,19 @@
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import torch
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import torch.nn as nn
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import seaborn as sns
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dataset = pd.read_csv('./train_set.csv')
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print(dataset.head())
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print(dataset.map_winner)
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# teams1 = dataset['team_1'].cat.codes.values
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# teams2 = dataset['team_2'].cat.codes.values
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print(dataset.dtypes)
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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print(device)
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