Packt Mastering Probability and Statistics in Python-XQZT

Another exquisit release
Packt.Mastering.Probability.and.Statistics.in.Python-XQZT
     Title: Mastering Probability and Statistics in Python
 Publisher: Packt
  Category: Data
      Size: 6223M
     Files: 11F
      Date: 2021-06-28
  Course #: 9781801075091
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781801075091
    Author: AI Sciences
  Duration: 12 hours 30 minutes
 Exer/Code: [ ]
Installation:
Unpack that shit, run that shit
Description:
A comprehensive course that teaches you the concepts and
methodologies of statistics and probability with data science.

92M	01.01-introduction_to_the_instructor.mkv
67M	01.02-focus_of_the_course.mkv
54M	02.01-probability_versus_statistics.mkv
55M	03.01-definition_of_set.mkv
118M	03.02-cardinality_of_a_set.mkv
53M	03.03-subsets_power_set_and_universal_set.mkv
61M	03.04-python_practice_subsets.mkv
119M	03.05-power_sets_solution.mkv
88M	03.06-operations.mkv
56M	03.07-python_practice_operations.mkv
51M	03.08-venn_diagrams_operations.mkv
39M	03.09-homework.mkv
49M	04.01-random_experiment.mkv
79M	04.02-outcome_and_sample_space.mkv
81M	04.03-event.mkv
46M	04.04-recap_and_homework.mkv
76M	05.01-probability_model.mkv
97M	05.02-probability_axioms.mkv
41M	05.03-probability_axioms_derivations.mkv
56M	05.04-probability_models_example.mkv
54M	05.05-more_examples_of_probability_models.mkv
56M	05.06-probability_models_continuous.mkv
101M	05.07-conditional_probability.mkv
106M	05.08-conditional_probability_example.mkv
70M	05.09-conditional_probability_formula.mkv
186M	05.10-conditional_probability_in_machine_learning.mkv
73M	05.11-conditional_probability_total_probability_theorem.mkv
57M	05.12-probability_models_independence.mkv
60M	05.13-probability_models_conditional_independence.mkv
48M	05.14-probability_models_bayes_rule.mkv
110M	05.15-probability_models_towards_random_variables.mkv
11M	05.16-homework.mkv
75M	06.01-introduction.mkv
72M	06.02-random_variables_examples.mkv
102M	06.03-bernoulli_random_variables.mkv
110M	06.04-bernoulli_trail_python_practice.mkv
82M	06.05-geometric_random_variable.mkv
59M	06.06-geometric_random_variable_normalization_proof_optional.mkv
128M	06.07-geometric_random_variable_python_practice.mkv
60M	06.08-binomial_random_variables.mkv
88M	06.09-binomial_python_practice.mkv
226M	06.10-random_variables_in_real_datasets.mkv
14M	06.11-homework.mkv
64M	07.01-zero_probability_to_individual_values.mkv
108M	07.02-probability_density_functions.mkv
47M	07.03-uniform_distribution.mkv
41M	07.04-uniform_distribution_python.mkv
31M	07.05-exponential.mkv
66M	07.06-exponential_python.mkv
61M	07.07-gaussian_random_variables.mkv
205M	07.08-gaussian_python.mkv
122M	07.09-transformation_of_random_variables.mkv
7.7M	07.10-homework.mkv
40M	08.01-definition.mkv
77M	08.02-sample_mean.mkv
104M	08.03-law_of_large_numbers.mkv
104M	08.04-law_of_large_numbers_famous_distributions.mkv
166M	08.05-law_of_large_numbers_famous_distributions_python.mkv
91M	08.06-variance.mkv
12M	08.07-homework.mkv
472M	09.01-project_bayes_classifier_from_scratch.mkv
84M	10.01-joint_distributions.mkv
58M	10.02-multivariate_gaussian.mkv
43M	10.03-conditioning_independence.mkv
44M	10.04-classification.mkv
31M	10.05-naive_bayes_classification.mkv
35M	10.06-regression.mkv
50M	10.07-curse_of_dimensionality.mkv
11M	10.08-homework.mkv
46M	11.01-parametric_distributions.mkv
47M	11.02-maximum_likelihood_estimate_(mle).mkv
66M	11.03-log_likelihood.mkv
35M	11.04-logistic_regression.mkv
89M	11.05-ridge_regression.mkv
52M	11.06-deep_neural_network_(dnn).mkv
64M	12.01-permutations.mkv
92M	12.02-combinations.mkv
48M	12.03-binomial_random_variable.mkv
67M	12.04-logistic_regression_formulation.mkv
148M	12.05-logistic_regression_derivation.mkv
6.1G	total