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ML Models : Linear SVM

Instructor: Applied AI Course Duration: 30 mins

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ML Models : Logistic Regression and Linear SVM

ML Models : XGBoost

Quora Question Pair Similarity

1.1

Business/Real world problem : Problem definition

6 min

1.2

Business objectives and constraints.

5 min

1.3

Mapping to an ML problem : Data overview

5 min

1.4

Mapping to an ML problem : ML problem and performance metric.

4 min

1.5

Mapping to an ML problem : Train-test split

5 min

1.6

EDA: Basic Statistics.

7 min

1.7

EDA: Basic Feature Extraction

6 min

1.8

EDA: Text Preprocessing

10 min

1.9

EDA: Advanced Feature Extraction

31 min

1.10

EDA: Feature analysis.

9 min

1.11

EDA: Data Visualization: T-SNE.

3 min

1.12

EDA: TF-IDF weighted Word2Vec featurization.

6 min

1.13

ML Models :Loading Data

6 min

1.14

ML Models: Random Model

7 min

1.15

ML Models : Logistic Regression and Linear SVM

11 min

1.16

ML Models : Linear SVM

30 min

1.17

ML Models : XGBoost

6 min

1.18

4 min