Introduction
Step 1: Define Project
Step 2: Describe Data
Step 3: Prepare Data
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Prepare Data - Reduction (6:27)
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Prepare Data - Feature Engineering (7:05)
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Prepare Data - Synthesis (4:14)
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Prepare Data - Data Preparation Toolkits from Ikigailabs (3:29)
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Prepare Data - Task 1: Load Data (8:09)
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Prepare Data - Task 2: Reformat (1:56)
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Prepare Data - Task 3: Filter (6:18)
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Prepare Data - Task 4: Merge (9:54)
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Prepare Data - Task 5: Group (4:37)
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Prepare Data - Task 6: Feature Engineering (5:44)
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Prepare Data - Summary (5:56)
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Quizzes
Step 4: Develop Model
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Develop Model - Overview (8:35)
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Descriptive Analytics - Simple Statistics (8:02)
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Descriptive Analytics - Bar Chart (5:56)
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Descriptive Analytics - Pie Chart (4:13)
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Descriptive Analytics - Maps (6:00)
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Predictive Analytics - Clustering - Set-up (9:27)
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Predictive Analytics - Clustering - Results (10:02)
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Predictive Analytics - Regression - Set-up (9:31)
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Predictive Analytics - Regression - Results (2:53)
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Prescriptive Analytics - Examples (9:22)
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Prescriptive Analytics - Algorithm (11:58)
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Quizzes
Step 5: Evaluate Model
Step 6: Deploy Model
Step 7: Optimize Model
