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BADIR: Hands-on Predictive Analytics
Section 0
Important message
Downloads
Monthly mentoring session - Zoom link and calendar invite
Part 1 - Section 1
Downloads
Handout - Part 1
Introduction & BADIR - Step 1: Business Question Framework (22:08)
BADIR - Step 1: Business Question Result (11:13)
BADIR - Step 2: Analysis Plan for PA (40:18)
BADIR- Step 2: Analysis Plan Result (31:02)
Installing R (4:05)
Section 2
Downloads
R: Introduction (16:18)
R: Reading and Viewing Data (38:38)
R: Indexing and apply family of functions (40:25)
R: Correlation (19:26)
Section 3
Downloads
R: Moffett Exercise Review (17:37)
R: Vectors (49:16)
R: Plotting & Outlier Detection (43:05)
Section 4
Downloads
R: Dplyr (36:21)
BADIR - Step 4: Derive Insights - Data Prep (48:35)
BADIR - Step 4: Derive Insights - Data Prep: Missing Value Treatment (33:42)
BADIR - Step 4: Derive Insights - Data Prep: Outlier Detection & Low Information Variable (19:05)
Section 5
Downloads
BADIR - Step 4:Derive Insights - Build Model: Variable creation and reduction (30:15)
BADIR - Step 4:Derive Insights - Build Model: Variable Transformation (19:57)
Exercise - Moffett (0:33)
BADIR - Step 4:Derive Insights - Build Model: Variable Transformation 2 (16:37)
Exercise - Moffett (0:36)
Section 6
Downloads
BADIR - Step 4:Derive Insights - Build Model: Model Building (19:13)
BADIR - Step 4:Derive Insights - Build Model: Model Comparison (18:42)
R:Model Building regression (36:46)
R: Model Building Logistic regression and Decision tree (28:39)
R: Model Comparison (6:15)
Section 7
Downloads
Moffett_walkthrough (67:30)
Quantifying_impact (11:10)
Recommendation (9:20)
BADIR - Step 4: Derive Insights - Data Prep: Outlier Detection & Low Information Variable
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