CRISP-ML(Q) - Business Understanding and Data Understanding

Files Included :

1 Introduction about Tutor.mp4 (35.31 MB)
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2 Agenda and Stages of Analytics.mp4 (8.12 MB)
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3 What is Diagnoistic Analytics.mp4 (11.81 MB)
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4 What is Predicative Analytics.mp4 (11.84 MB)
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5 What is Prescriptive Analytics.mp4 (57.92 MB)
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6 What is CRISP-ML(Q).mp4 (30.03 MB)
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1 Business Understanding - Define the Scope of Application.mp4 (164.5 MB)
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2 Business Understanding - Define Success Criteria.mp4 (70.12 MB)
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3 Business Understanding - Use Cases.mp4 (89.76 MB)
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1 Agenda Data Understanding.mp4 (7.05 MB)
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10 Big Data Vs Not Big Data.mp4 (109.92 MB)
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11 Cross Sectional Vs Time Panel Vs PanelLongitudinal Data.mp4 (80.6 MB)
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12 Balanced Vs Imbalanced Vs Rare Events.mp4 (209.61 MB)
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13 Batch Data(Offline) Vs Live Streaming Data (Online).mp4 (191.87 MB)
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2 Introduction to Data Understanding.mp4 (63.25 MB)
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3 Data Types - Continuous Data (vs) Discrete Data.mp4 (110.35 MB)
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4 Categorical Data Vs Count Data.mp4 (75.49 MB)
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5 Practical Data Understanding using Realtime Examples.mp4 (109.1 MB)
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6 Scales of Measurement.mp4 (38.85 MB)
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7 Quantitative (vs) Qualitative.mp4 (56.15 MB)
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8 Structured Vs Unstructured Data.mp4 (148.41 MB)
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1 What is Data Collection.mp4 (48.07 MB)
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2 Understanding Secondary Datasources.mp4 (113.59 MB)
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3 Understanding Primary Datasources.mp4 (205.34 MB)
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4 Understanding Data Collection Using Survey.mp4 (63.24 MB)
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5 Understanding Data Collection Using DoE.mp4 (64.33 MB)
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6 Understanding Possible Error in Data Collection Stage.mp4 (132.73 MB)
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7 Understanding Bias & Fairness.mp4 (53.85 MB)
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