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Packt.Step.by.Step.Machine.Learning.with.Python
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Packt.Step.by.Step.Machine.Learning.with.Python
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种子哈希：
cc6469702160d18e078735731ab059a59bdc3dd7
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2018-01-31
最近下载：
2024-11-20
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文件列表
1 - Getting Started with Python and Machine Learning/Installing Software and Setting Up.mp4
23.1 MB
1 - Getting Started with Python and Machine Learning/Introduction to Machine Learning.mp4
13.7 MB
1 - Getting Started with Python and Machine Learning/The Course Overview.mp4
18.0 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Clustering.mp4
10.9 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Data Preprocessing.mp4
9.6 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Getting the Newsgroups Data.mp4
14.8 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Machine Learning with Python.mp4
1.7 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Thinking about Features.mp4
21.3 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Topic Modeling.mp4
13.7 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp4
42.2 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Understanding NLP.mp4
16.7 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Visualization.mp4
12.1 MB
3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp4
38.8 MB
3 - Spam Email Detection with Naïve Bayes#/Exploring Naïve Bayes.mp4
5.4 MB
3 - Spam Email Detection with Naïve Bayes#/Getting Started with Classification.mp4
9.2 MB
3 - Spam Email Detection with Naïve Bayes#/Model Tuning and cross-validation.mp4
19.1 MB
3 - Spam Email Detection with Naïve Bayes#/The Mechanics of Naïve Bayes.mp4
7.7 MB
3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp4
60.1 MB
4 - News Topic Classification with Support Vector Machine/Choosing Between the Linear and the RBF Kernel.mp4
14.9 MB
4 - News Topic Classification with Support Vector Machine/Fetal State Classification with SVM.mp4
22.9 MB
4 - News Topic Classification with Support Vector Machine/News topic Classification with Support Vector Machine.mp4
38.1 MB
4 - News Topic Classification with Support Vector Machine/Recap and Inverse Document Frequency.mp4
17.4 MB
4 - News Topic Classification with Support Vector Machine/The Implementations of SVM.mp4
20.6 MB
4 - News Topic Classification with Support Vector Machine/The Kernels of SVM.mp4
12.4 MB
4 - News Topic Classification with Support Vector Machine/The Mechanics of SVM.mp4
9.6 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Brief Overview of Advertising Click-Through Prediction.mp4
11.5 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Click-Through Prediction with Decision Tree.mp4
26.2 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Decision Tree Classifier.mp4
38.5 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Random Forest - Feature Bagging of Decision Tree.mp4
19.2 MB
5 - Click-Through Prediction with Tree-Based Algorithms/The Implementations of Decision Tree.mp4
23.9 MB
6 - Click-Through Prediction with Logistic Regression#/Click-Through Prediction with Logistic Regression by Gradient Descent.mp4
79.0 MB
6 - Click-Through Prediction with Logistic Regression#/Feature Selection via Random Forest.mp4
16.8 MB
6 - Click-Through Prediction with Logistic Regression#/Logistic Regression Classifier.mp4
39.2 MB
6 - Click-Through Prediction with Logistic Regression#/One-Hot Encoding - Converting Categorical Features to Numerical.mp4
22.5 MB
7 - Stock Price Prediction with Regression Algorithms/Brief Overview of the Stock Market And Stock Price.mp4
7.4 MB
7 - Stock Price Prediction with Regression Algorithms/Data Acquisition and Feature Generation.mp4
12.9 MB
7 - Stock Price Prediction with Regression Algorithms/Decision Tree Regression.mp4
28.8 MB
7 - Stock Price Prediction with Regression Algorithms/Linear Regression.mp4
31.8 MB
7 - Stock Price Prediction with Regression Algorithms/Machine Learning with Python.mp4
1.7 MB
7 - Stock Price Prediction with Regression Algorithms/Predicting Stock Price with Regression Algorithms.mp4
25.6 MB
7 - Stock Price Prediction with Regression Algorithms/Regression Performance Evaluation.mp4
13.3 MB
7 - Stock Price Prediction with Regression Algorithms/Stock Price Prediction with Regression Algorithms.mp4
35.9 MB
7 - Stock Price Prediction with Regression Algorithms/Support Vector Regression.mp4
8.5 MB
8 - Best Practices/Best Practices in Data Preparation Stage.mp4
33.4 MB
8 - Best Practices/Best Practices in the Deployment and Monitoring Stage.mp4
14.6 MB
8 - Best Practices/Best Practices in the Model Training, Evaluation, and Selection Stage.mp4
11.4 MB
8 - Best Practices/Best Practices in the Training Sets Generation Stage.mp4
21.5 MB
V09050_Code/V09050_Code/Section 02/.ropeproject/config.py
3.5 kB
V09050_Code/V09050_Code/Section 02/.ropeproject/globalnames
1.0 kB
V09050_Code/V09050_Code/Section 02/.ropeproject/history
14 Bytes
V09050_Code/V09050_Code/Section 02/.ropeproject/objectdb
2.3 kB
V09050_Code/V09050_Code/Section 02/0_getting.py
303 Bytes
V09050_Code/V09050_Code/Section 02/1histogram.py
529 Bytes
V09050_Code/V09050_Code/Section 02/2clean_words.py
723 Bytes
V09050_Code/V09050_Code/Section 02/3post_clustering.py
919 Bytes
V09050_Code/V09050_Code/Section 02/4topic_model.py
998 Bytes
V09050_Code/V09050_Code/Section 03/.DS_Store
6.1 kB
V09050_Code/V09050_Code/Section 03/email_spam.py
10.5 kB
V09050_Code/V09050_Code/Section 04/.DS_Store
6.1 kB
V09050_Code/V09050_Code/Section 04/1email_spam_tfidf_submit.py
2.7 kB
V09050_Code/V09050_Code/Section 04/2topic_categorization.py
5.2 kB
V09050_Code/V09050_Code/Section 04/3plot_rbf_kernels.py
1.2 kB
V09050_Code/V09050_Code/Section 04/4ctg.py
1.2 kB
V09050_Code/V09050_Code/Section 04/CTG.xls
1.7 MB
V09050_Code/V09050_Code/Section 05/.DS_Store
6.1 kB
V09050_Code/V09050_Code/Section 05/1decision_tree_submit.py
10.0 kB
V09050_Code/V09050_Code/Section 05/2avazu_ctr.py
2.1 kB
V09050_Code/V09050_Code/Section 06/.DS_Store
6.1 kB
V09050_Code/V09050_Code/Section 06/1one_hot_encode.py
2.5 kB
V09050_Code/V09050_Code/Section 06/2logistic_function.py
833 Bytes
V09050_Code/V09050_Code/Section 06/3logistic_regression_from_scratch.py
7.8 kB
V09050_Code/V09050_Code/Section 06/4random_forest_feature_selection.py
1.7 kB
V09050_Code/V09050_Code/Section 06/5scikit_logistic_regression.py
5.4 kB
V09050_Code/V09050_Code/Section 07/.DS_Store
6.1 kB
V09050_Code/V09050_Code/Section 07/198810101_20151231.csv
556.8 kB
V09050_Code/V09050_Code/Section 07/1stock_price_prediction.py
7.7 kB
V09050_Code/V09050_Code/Section 07/20051201_20151210.csv
644 Bytes
V09050_Code/V09050_Code/Section 07/2linear_regression.py
4.8 kB
V09050_Code/V09050_Code/Section 07/3decision_tree_regression.py
7.2 kB
V09050_Code/V09050_Code/Section 07/4support_vector_regression.py
439 Bytes
V09050_Code/V09050_Code/Section 08/.DS_Store
6.1 kB
V09050_Code/V09050_Code/Section 08/1imputation.py
3.3 kB
V09050_Code/V09050_Code/Section 08/2feature_selection.py
1.1 kB
V09050_Code/V09050_Code/Section 08/3dimensionality_reduction.py
635 Bytes
V09050_Code/V09050_Code/Section 08/4generic_feature_engineering.py
344 Bytes
V09050_Code/V09050_Code/Section 08/5save_reuse_monitor_model.py
1.0 kB
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