Kerasで実現するディープラーニングによるAI競馬予想(回帰分析) - Qiita

import joblib import numpy as np import pandas as pd from keras.layers import Dense, Dropout from keras.models import Sequential from sklearn.metrics import mean_squared_error, r2_score from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler # CSVファイル読み込み in_file_name = 'dl_regression_train.csv' df = pd.read_csv(in_file_name, encoding='SHIFT_JIS') # 説明