Home Courses Yellow taxi Demand prediction Newyork city Introduction

Introduction

Instructor: Applied AI Course Duration: 17 mins

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Moving window for Time Series Data

Featurization and Feature engineering.

1.1

17 min

1.2

Moving window for Time Series Data

25 min

1.3

Fourier decomposition

22 min

1.4

Deep learning features: LSTM

8 min

1.5

Image histogram

23 min

1.6

Keypoints: SIFT.

10 min

1.7

Deep learning features: CNN

4 min

1.8

Relational data

10 min

1.9

12 min

1.10

Indicator variables

7 min

1.11

Feature binning

14 min

1.12

Interaction variables

8 min

1.13

Mathematical transforms

4 min

1.14

Model specific featurizations

9 min

1.15

Feature orthogonality

11 min

1.16

Domain specific featurizations

4 min

1.17

Feature slicing

10 min

1.18

Kaggle Winners solutions

7 min