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BDA Study

name
(8th) SQL Basics | 24.02 ~ 24.08
(9th) Feature Engineering | 24.09 ~ 25.02
(10th) Customer KPI Analysis | 25.03 ~ 25.08

Assignment

[24-2] Feature Engineering

No Date Class Assignment
1 240915 OT
2 240922 Feature Selection (1) California Housing Dataset Feature Selection (Linear Regression)
3 240929 Feature Selection (2) Titanic Dataset Feature Selection (Variance Threshold)
Campaign Dataset Feature Selection (Chi-Sqaure)
4 241103 Feature Selection (3) Portugese Student Dataset Feature Selection (RFECV, SFS)
5 241110 Feature Selection (4)
6 241117 Feature Selection (5) Titanic Dataset Feature Selection (SHAP)
7 241124 Feature Selection (6)
8 241229 Feature Selection (7) Movie Review Dataset Text Importance (LIME)
9 250105 Classification (1)
10 250112 Classification (2) Hotel Booking Cancellation Prediction
11 250119 Regression (1) California Housing Dataset R2 Improvement (Regression)
12 250126 Word Embedding
13 250202 Natural Langauge Processing (1)
14 250209 Natural Langauge Processing (2) Movie Review Dataset Accuracy Improvement (Word2Vec)
15 250216 Natural Langauge Processing (3) Keras Embedding Improvement
16 250223 Natural Langauge Processing (4)
+ (Addition) Class Completion Rate Improvement Strategy Suggestion

[25-1] Customer KPI Analysis

No Date Class Assignment
1 250306 OT
2 250313 Metric Development (1) Classicmodels Dataset Data Mart Validation (Order)
Classicmodels Dataset Customer Segmentation
3 250320 Metric Development (2) Classicmodels Dataset Data Mart Validation (Product)
4 250327 Metric Development (3)
5 250501 Metric Development (4) GA4 Dataset Budget Efficiency Analysis
6 250508 Customer Analysis (1)
7 250515 Customer Analysis (2) E-Commerce Dataset RFM Analysis
8 250522 Customer Analysis (3) E-Commerce Dataset LTV Analysis
9 250626 A/B Test
10

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