Packt Machine Learning A-Z Support Vector Machine with Python-XQZT

Another exquisit release
Packt.Machine.Learning.A-Z.Support.Vector.Machine.with.Python-XQZT
     Title: Machine Learning A-Z: Support Vector Machine with Python 
 Publisher: Packt
  Category: Data
      Size: 6765M
     Files: 11F
      Date: 2021-04-28
  Course #: 9781801071833
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781801071833
    Author: AI Sciences
  Duration: 11 hours 10 minutes
 Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Description:
Learn machine learning and support vector machine from scratch

35M	01.01-introduction_to_course.mkv
78M	01.02-why_machine_learning.mkv
54M	01.03-why_support_vector_machine.mkv
28M	01.04-course_overview.mkv
187M	02.01-introduction_to_machine_learning_learning_process_and_supervised_learning.mkv
79M	02.02-unsupervised_learning_and_reinforcement_learning.mkv
161M	02.03-history_and_future_of_machine_learning.mkv
154M	02.04-dataset_label_and_features.mkv
62M	02.05-training_data_testing_data_and_outliers.mkv
99M	02.06-model.mkv
88M	02.07-model_(difference_between_classification_and_regression).mkv
116M	02.08-model_(function_parameters_hyperparameters).mkv
115M	02.09-training_a_model_cost_error_loss_risk_and_accuracy.mkv
86M	02.10-optimization.mkv
55M	02.11-overfitting_underfitting_just_right_optimum_(part_1).mkv
24M	02.12-overfitting_underfitting_just_right_optimum_(part_2).mkv
122M	02.13-validation_and_cross_validation_generalization_data_snooping_validation_set.mkv
125M	02.14-probability_distributions_and_curse_of_dimensionality.mkv
55M	02.15-small_sample_size_problems_one_shot_learning.mkv
158M	02.16-importance_of_data_in_machine_learning_data_encoding_and_preprocessing.mkv
53M	02.17-general_flow_of_a_typical_machine_learning_project.mkv
24M	03.01-introduction_to_python.mkv
64M	03.02-introduction_to_ide_hello_world.mkv
49M	03.03-introduction_to_data_type_numbers.mkv
58M	03.04-variable_and_operators_(numbers).mkv
91M	03.05-variables_and_operators_(rational_operators_and_functions).mkv
65M	03.06-variables_and_operators_(string).mkv
68M	03.07-variables_and_operators_(string_and_print_statement).mkv
211M	03.08-lists_(indexing_slicing_built-in_lists_in_functions).mkv
40M	03.09-lists_(copying_a_list).mkv
37M	03.10-tuples_(indexing_slicing_built-in_tuple_functions).mkv
43M	03.11-set_(initialize_built-in_set_functions).mkv
35M	03.12-dictionary.mkv
50M	03.13-logical_operator_decision_making_for_loops_while_loops_functions.mkv
109M	03.14-logical_operator_decision_making_for_loops_while_loops_list_comprehension.mkv
68M	03.15-functions.mkv
152M	03.16-calculator_project.mkv
36M	04.01-introduction_to_svm.mkv
188M	04.02-linear_discriminants.mkv
191M	04.03-linear_discriminants_higher_spaces.mkv
82M	04.04-linear_discriminants_decision_boundary.mkv
123M	04.05-generalized_linear_model.mkv
138M	04.06-feature_transformation.mkv
97M	04.07-max_margin_linear_discriminant.mkv
81M	04.08-hard_margin_versus_soft_margin.mkv
102M	04.09-confidence.mkv
164M	04.10-multiclass_extension.mkv
165M	04.11-svm_versus_logistic_regression_sparsity.mkv
124M	04.12-svm_optimization.mkv
131M	04.13-svm_langrangian_dual.mkv
80M	04.14-kernels.mkv
92M	04.15-python_packages_and_the_titanic_dataset.mkv
62M	04.16-using_numpy_pandas_and_matplotlib_(part_1).mkv
60M	04.17-using_numpy_pandas_and_matplotlib_(part_2).mkv
109M	04.18-using_numpy_pandas_and_matplotlib_(part_3).mkv
139M	04.19-using_numpy_pandas_and_matplotlib_(part_4).mkv
118M	04.20-using_numpy_pandas_and_matplotlib_(part_5).mkv
87M	04.21-using_numpy_pandas_and_matplotlib_(part_6).mkv
135M	04.22-dataset_preprocessing.mkv
137M	04.23-svm_with_sklearn.mkv
42M	04.24-svm_without_sklearn_(part_1).mkv
134M	04.25-svm_without_sklearn_(part_2).mkv
40M	05.01-optional_svm_optimization_(part_1).mkv
119M	05.02-optional_svm_optimization_(part_2).mkv
128M	05.03-optional_svm_optimization_(part_3).mkv
233M	05.04-optional_svm_optimization_(part_4).mkv
224M	05.05-optional_svm_optimization_(part_5).mkv
128M	05.06-optional_svm_optimization_(part_6).mkv
376K	9781801071833_Code.zip
6.6G	total