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03.05-translating_business_problems_into_data_mining_problems.mkv

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03.05-translating_business_problems_into_data_mining_problems.mkv
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03.04-evaluate_a_projects_potential_with_business_metrics_and_roi.mkv
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04.01-understanding_data_requirements.mkv
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03.03-why_every_model_needs_an_effective_intervention_strategy.mkv
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04.02-gathering_historical_data.mkv
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03.02-framing_the_problem_in_terms_of_a_micro-decision.mkv
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04.03-meeting_the_flat_file_requirement.mkv
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03.01-beginning_with_a_solid_first_step_problem_definition.mkv
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04.04-determining_your_target_variable.mkv
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02.03-introducing_crisp-dm.mkv
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04.05-selecting_relevant_data.mkv
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02.02-defining_data_mining.mkv
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04.06-hints_on_effective_data_integration.mkv
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02.01-introducing_the_essential_elements.mkv
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04.07-understanding_feature_engineering.mkv
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01.01-data_mining_and_predictive_analytics_.mkv
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04.08-developing_your_craft.mkv
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05.01-skill_sets_and_resources_that_youll_need.mkv
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05.02-compare_machine_learning_and_statistics.mkv
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05.03-assessing_team_requirements.mkv
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