machine-learning-practice-master.zip （73个子文件） 
machine-learning-practice-master 
.gitignore 12B reinforcement-learning DQN DQN_modified.py 6KB maze_env.py 4KB __init__.py 0B RL_brain.py 8KB run_this.py 1KB __init__.py 0B gym-quickstart.py 157B q-learning maze MazeEnv.py 2KB __init__.py 0B QLearningAgent.py 3KB README.md 113B main.py 3KB MazeActions.py 54B __init__.py 0B neural_network __init__.py 0B 2_layer_nn.py 952B neural_network.py 3KB data iris.csv 3KB boston_house_prices.csv 34KB framework-tensorflow classification.py 2KB __init__.py 0B get-started premade_estimator.py 3KB estimator_test.py 2KB __init__.py 0B iris_data.py 3KB custom_estimator.py 5KB README.md 204B scikit-learn regression linear-regression.py 365B ridge.py 344B __init__.py 0B classification-and-regression-tree.py 367B lasso.py 338B k-neighnors-regressor.py 374B elastic-net.py 348B support-vector-regression.py 325B evaluation k-fold.py 326B __init__.py 0B train_test_split.py 393B shuffle-split.py 380B leave-one-out.py 327B __init__.py 0B example __init__.py 0B boston-house-price.py 1KB iris.py 60B classification k-nearest-neighbors.py 318B linear-discriminant-analysis.py 342B __init__.py 0B support-vector-classification.py 278B classification-and-regression-tree.py 322B native-bayes.py 300B logistic-regression.py 317B feature_selection select-k-best.py 405B __init__.py 0B principle-component-analysis.py 214B recursive-feature-elimination.py 335B preprocessing standard-scaler.py 211B scale.py 252B __init__.py 0B normalize-scaler.py 209B encoding-categorical-features.py 322B min-max-scaler.py 239B framework-keras iris.csv 3KB classification.py 481B __init__.py 0B practice0.py 594B boston_house_prices.csv 34KB regression.py 1KB test test.json 22KB test2.py 368B test.py 403B test1.py 138B test.yml 834B资源评论
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