Linkedin Learning Predictive Analytics Essential Training Data Mining-XQZT

Another exquisit release
Linkedin.Learning.Predictive.Analytics.Essential.Training.Data.Mining-XQZT
     Title: Predictive Analytics Essential Training: Data Mining
 Publisher: Linkedin Learning
  Category: N/A
      Size: 472M
     Files: 10F
      Date: 2021-10-07
  Course #: 2428387
 Published: Linkedin.Learning
   Updated: N/A
       URL: https://linkedin.com/learning/predictive-analytics-essential-training-data-mining
    Author: Keith McCormick
  Duration: 1:54:53
 Exer/Code: [ ]
Installation:
Unpack that shit, run that shit
Description:
Get useful, real-world insights into using predictive analysis and
data mining to solve problems.

17M	01.01-data_mining_and_predictive_analytics_.mkv
53M	02.01-introducing_the_essential_elements.mkv
13M	02.02-defining_data_mining.mkv
3.3M	02.03-introducing_crisp-dm.mkv
16M	03.01-beginning_with_a_solid_first_step_problem_definition.mkv
2.8M	03.02-framing_the_problem_in_terms_of_a_micro-decision.mkv
5.6M	03.03-why_every_model_needs_an_effective_intervention_strategy.mkv
5.9M	03.04-evaluate_a_projects_potential_with_business_metrics_and_roi.mkv
7.8M	03.05-translating_business_problems_into_data_mining_problems.mkv
23M	04.01-understanding_data_requirements.mkv
4.3M	04.02-gathering_historical_data.mkv
2.9M	04.03-meeting_the_flat_file_requirement.mkv
4.4M	04.04-determining_your_target_variable.mkv
13M	04.05-selecting_relevant_data.mkv
7.2M	04.06-hints_on_effective_data_integration.mkv
7.1M	04.07-understanding_feature_engineering.mkv
5.9M	04.08-developing_your_craft.mkv
12M	05.01-skill_sets_and_resources_that_youll_need.mkv
4.4M	05.02-compare_machine_learning_and_statistics.mkv
13M	05.03-assessing_team_requirements.mkv
4.5M	05.04-budgeting_sufficient_time.mkv
7.5M	05.05-working_with_subject_matter_experts.mkv
15M	06.01-anticipating_project_challenges.mkv
8.1M	06.02-addressing_missing_data.mkv
8.5M	06.03-addressing_organizational_resistance.mkv
7.1M	06.04-addressing_models_that_degrade.mkv
21M	07.01-preparing_for_the_modeling_phase_tasks.mkv
14M	07.02-searching_for_optimal_solutions.mkv
7.4M	07.03-seeking_surprise_results.mkv
5.7M	07.04-establishing_proof_that_the_model_works.mkv
4.2M	07.05-embracing_a_trial_and_error_approach.mkv
16M	08.01-preparing_for_the_deployment_phase.mkv
7.6M	08.02-using_probabilities_and_propensities.mkv
11M	08.03-understanding_meta_modeling.mkv
6.8M	08.04-understanding_reproducibility.mkv
3.4M	08.05-preparing_for_model_deployment.mkv
8.0M	08.06-how_to_approach_project_documentation.mkv
16M	09.01-crisp-dm_and_the_laws_of_data_mining.mkv
5.4M	09.02-understanding_crisp-dm.mkv
9.0M	09.03-advice_for_using_crisp-dm.mkv
4.5M	09.04-understanding_the_nine_laws_of_data_mining.mkv
3.7M	09.05-understanding_the_first_and_second_laws.mkv
13M	09.06-understanding_the_data_preparation_law.mkv
13M	09.07-understanding_the_laws_about_patterns.mkv
6.6M	09.08-understanding_the_insight_and_prediction_laws.mkv
5.9M	09.09-understanding_the_value_law.mkv
6.7M	09.10-understanding_why_models_change.mkv
4.0M	10.01-next_steps.mkv
456M	total