Liu Yuxi (Hayden) - Python Machine Learning By Example, 3rd Edition (Expert Insight) + Code - 2020
大小
91.21 MB
文件数
64
Info Hash:
DEC00DFA0D587F986781D934D2CE2D259A9C1F68
收录时间
2026-02-02 22:16:41
更新时间
2026-02-02 22:16:41
文件列表 (64)
Code/chapter2/ml-10m.zip
62.53 MB
Liu Yuxi (Hayden) - Python Machine Learning By Example, 3rd Edition (Expert Insight) - 2020.epub
12.09 MB
Liu Yuxi (Hayden) - Python Machine Learning By Example, 3rd Edition (Expert Insight) - 2020.pdf
11.57 MB
Code/chapter13/warpeace_input.txt
3.11 MB
Code/chapter3/CTG.xls
1.66 MB
Code/Software and hardware list.pdf
117.86 KB
Code/chapter4/decision_tree_implementation.py
10.05 KB
Code/chapter8/stock_prediction.py
7.69 KB
Code/chapter7/stock_prediction.py
6.66 KB
Code/chapter7/decision_tree_regression.py
6.65 KB
Code/chapter2/movie_recommendation.py
5.93 KB
Code/chapter5/logistic_regression_from_scratch.py
5.91 KB
Code/chapter5/scikit_logistic_regression.py
4.23 KB
Code/chapter7/get_dji_data.py
3.83 KB
Code/chapter12/classify_image_augmentation.py
3.79 KB
Code/chapter13/text_gen_rnn.py
3.68 KB
Code/chapter2/naive_bayes.py
3.67 KB
Code/chapter6/ctr.py
3.57 KB
Code/chapter7/linear_regression.py
3.53 KB
Code/chapter12/classify_clothing_image.py
3.31 KB
Code/chapter14/on_policy_mc_control.py
3.09 KB
Code/chapter8/neural_network.py
3.01 KB
Code/chapter6/ctr_interaction.py
2.84 KB
Code/chapter14/value_iteration.py
2.76 KB
Code/chapter14/policy_iteration.py
2.75 KB
Code/chapter11/imputation.py
2.68 KB
Code/chapter6/ctr_hashing.py
2.64 KB
Code/chapter14/taxi_q_learning.py
2.59 KB
Code/chapter3/face_recognition_svm.py
2.42 KB
Code/chapter13/sentiment_rnn.py
2.36 KB
Code/chapter4/avazu_ctr.py
2.12 KB
Code/chapter10/kmeans_newsgroups.py
2.03 KB
Code/chapter5/logistic_regression_tf.py
2 KB
Code/chapter9/tSNE.py
1.95 KB
Code/chapter10/kmeans_from_scratch.py
1.76 KB
Code/chapter3/svm_example.py
1.61 KB
Code/chapter5/encoding.py
1.59 KB
Code/chapter14/mc_policy_evaluation.py
1.48 KB
Code/chapter10/lda_newsgroups.py
1.41 KB
Code/chapter10/nmf_newsgroups.py
1.34 KB
Code/chapter5/random_forest_feature_selection.py
1.33 KB
Code/chapter9/thinking_about_features.py
1.32 KB
Code/chapter11/feature_selection.py
1.32 KB
Code/chapter9/exploring_nlp.py
1.3 KB
Code/chapter3/plot_rbf_kernels.py
1.25 KB
Code/chapter7/regression_evaluation.py
1.25 KB
Code/chapter11/save_reuse_monitor_model.py
1.17 KB
Code/chapter3/ctg.py
1.15 KB
Code/chapter14/simulate_frozenlake.py
1.14 KB
Code/chapter5/logistic_function.py
1.02 KB
Code/chapter4/avazu_ctr_xgboost.py
988 B
Code/chapter10/kmeans_elbow.py
909 B
Code/chapter11/dimensionality_reduction.py
809 B
Code/chapter11/save_reuse_model_tf.py
769 B
Code/chapter11/word_embedding.py
710 B
Code/chapter10/kmeans_sklearn.py
706 B
Code/chapter6/example.py
681 B
Code/chapter7/svr.py
638 B
Code/chapter9/getting_exploring_newsgroups.py
566 B
Code/chapter11/generic_feature_engineering.py
529 B
Code/chapter14/installation.py
318 B