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Packt Step by Step Machine Learning with Python

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Title: Packt Step by Step Machine Learning with PythonGroup: NOGRPSource: Packt
Info Hash
CC6469702160D18E078735731AB059A59BDC3DD7
Source
Unverified
Total Size
953.6 MB
Total Files
86
Seeders
2
Leechers
0
Health
2.00
Score
4
Type
Bookware

File List

FileSize
1 - Getting Started with Python and Machine Learning/Installing Software and Setting Up.mp422.01 MB
1 - Getting Started with Python and Machine Learning/Introduction to Machine Learning.mp413.02 MB
1 - Getting Started with Python and Machine Learning/The Course Overview.mp417.18 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Clustering.mp410.44 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Data Preprocessing.mp49.15 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Getting the Newsgroups Data.mp414.1 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Machine Learning with Python.mp41.61 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Thinking about Features.mp420.34 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Topic Modeling.mp413.04 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp440.29 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Understanding NLP.mp415.97 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Visualization.mp411.53 MB
3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp436.98 MB
3 - Spam Email Detection with Naïve Bayes#/Exploring Naïve Bayes.mp45.1 MB
3 - Spam Email Detection with Naïve Bayes#/Getting Started with Classification.mp48.76 MB
3 - Spam Email Detection with Naïve Bayes#/Model Tuning and cross-validation.mp418.26 MB
3 - Spam Email Detection with Naïve Bayes#/The Mechanics of Naïve Bayes.mp47.33 MB
3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp457.36 MB
4 - News Topic Classification with Support Vector Machine/Choosing Between the Linear and the RBF Kernel.mp414.21 MB
4 - News Topic Classification with Support Vector Machine/Fetal State Classification with SVM.mp421.84 MB
4 - News Topic Classification with Support Vector Machine/News topic Classification with Support Vector Machine.mp436.37 MB
4 - News Topic Classification with Support Vector Machine/Recap and Inverse Document Frequency.mp416.63 MB
4 - News Topic Classification with Support Vector Machine/The Implementations of SVM.mp419.68 MB
4 - News Topic Classification with Support Vector Machine/The Kernels of SVM.mp411.79 MB
4 - News Topic Classification with Support Vector Machine/The Mechanics of SVM.mp49.16 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Brief Overview of Advertising Click-Through Prediction.mp411 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Click-Through Prediction with Decision Tree.mp424.99 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Decision Tree Classifier.mp436.69 MB
5 - Click-Through Prediction with Tree-Based Algorithms/Random Forest - Feature Bagging of Decision Tree.mp418.28 MB
5 - Click-Through Prediction with Tree-Based Algorithms/The Implementations of Decision Tree.mp422.81 MB
6 - Click-Through Prediction with Logistic Regression#/Click-Through Prediction with Logistic Regression by Gradient Descent.mp475.32 MB
6 - Click-Through Prediction with Logistic Regression#/Feature Selection via Random Forest.mp416.04 MB
6 - Click-Through Prediction with Logistic Regression#/Logistic Regression Classifier.mp437.4 MB
6 - Click-Through Prediction with Logistic Regression#/One-Hot Encoding - Converting Categorical Features to Numerical.mp421.42 MB
7 - Stock Price Prediction with Regression Algorithms/Brief Overview of the Stock Market And Stock Price.mp47.05 MB
7 - Stock Price Prediction with Regression Algorithms/Data Acquisition and Feature Generation.mp412.29 MB
7 - Stock Price Prediction with Regression Algorithms/Decision Tree Regression.mp427.45 MB
7 - Stock Price Prediction with Regression Algorithms/Linear Regression.mp430.28 MB
7 - Stock Price Prediction with Regression Algorithms/Machine Learning with Python.mp41.61 MB
7 - Stock Price Prediction with Regression Algorithms/Predicting Stock Price with Regression Algorithms.mp424.42 MB
7 - Stock Price Prediction with Regression Algorithms/Regression Performance Evaluation.mp412.72 MB
7 - Stock Price Prediction with Regression Algorithms/Stock Price Prediction with Regression Algorithms.mp434.23 MB
7 - Stock Price Prediction with Regression Algorithms/Support Vector Regression.mp48.09 MB
8 - Best Practices/Best Practices in Data Preparation Stage.mp431.86 MB
8 - Best Practices/Best Practices in the Deployment and Monitoring Stage.mp413.9 MB
8 - Best Practices/Best Practices in the Model Training, Evaluation, and Selection Stage.mp410.84 MB
8 - Best Practices/Best Practices in the Training Sets Generation Stage.mp420.46 MB
V09050_Code/V09050_Code/Section 02/.ropeproject/config.py3.38 KB
V09050_Code/V09050_Code/Section 02/.ropeproject/globalnames1011 B
V09050_Code/V09050_Code/Section 02/.ropeproject/history14 B
V09050_Code/V09050_Code/Section 02/.ropeproject/objectdb2.21 KB
V09050_Code/V09050_Code/Section 02/0_getting.py303 B
V09050_Code/V09050_Code/Section 02/1histogram.py529 B
V09050_Code/V09050_Code/Section 02/2clean_words.py723 B
V09050_Code/V09050_Code/Section 02/3post_clustering.py919 B
V09050_Code/V09050_Code/Section 02/4topic_model.py998 B
V09050_Code/V09050_Code/Section 03/.DS_Store6 KB
V09050_Code/V09050_Code/Section 03/email_spam.py10.28 KB
V09050_Code/V09050_Code/Section 04/.DS_Store6 KB
V09050_Code/V09050_Code/Section 04/1email_spam_tfidf_submit.py2.62 KB
V09050_Code/V09050_Code/Section 04/2topic_categorization.py5.04 KB
V09050_Code/V09050_Code/Section 04/3plot_rbf_kernels.py1.13 KB
V09050_Code/V09050_Code/Section 04/4ctg.py1.14 KB
V09050_Code/V09050_Code/Section 04/CTG.xls1.66 MB
V09050_Code/V09050_Code/Section 05/.DS_Store6 KB
V09050_Code/V09050_Code/Section 05/1decision_tree_submit.py9.81 KB
V09050_Code/V09050_Code/Section 05/2avazu_ctr.py2.06 KB
V09050_Code/V09050_Code/Section 06/.DS_Store6 KB
V09050_Code/V09050_Code/Section 06/1one_hot_encode.py2.42 KB
V09050_Code/V09050_Code/Section 06/2logistic_function.py833 B
V09050_Code/V09050_Code/Section 06/3logistic_regression_from_scratch.py7.6 KB
V09050_Code/V09050_Code/Section 06/4random_forest_feature_selection.py1.68 KB
V09050_Code/V09050_Code/Section 06/5scikit_logistic_regression.py5.24 KB
V09050_Code/V09050_Code/Section 07/.DS_Store6 KB
V09050_Code/V09050_Code/Section 07/198810101_20151231.csv543.79 KB
V09050_Code/V09050_Code/Section 07/1stock_price_prediction.py7.48 KB
V09050_Code/V09050_Code/Section 07/20051201_20151210.csv644 B
V09050_Code/V09050_Code/Section 07/2linear_regression.py4.72 KB
V09050_Code/V09050_Code/Section 07/3decision_tree_regression.py7.08 KB
V09050_Code/V09050_Code/Section 07/4support_vector_regression.py439 B
V09050_Code/V09050_Code/Section 08/.DS_Store6 KB
V09050_Code/V09050_Code/Section 08/1imputation.py3.25 KB
V09050_Code/V09050_Code/Section 08/2feature_selection.py1.12 KB
V09050_Code/V09050_Code/Section 08/3dimensionality_reduction.py635 B
V09050_Code/V09050_Code/Section 08/4generic_feature_engineering.py344 B
V09050_Code/V09050_Code/Section 08/5save_reuse_monitor_model.py1 KB

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