| Lecture 1: Tabular Data |
|
Lecture 1 HW
(
colab
)
|
| Lecture 2: Time Series Data – Time Domain |
|
Lecture 2 HW
(
colab
)
|
| Lecture 3: Time Series Data – Frequency Domain |
-
Motivation
(
colab
)
-
Trigonometry
(
colab
)
-
Fast Fourier Transform
(
colab
)
-
Spectrograms
(
colab
)
-
Frequency-Domain Features
(
colab
)
-
Signal Noise
(
colab
)
-
Digital Filters
(
colab
)
|
Lecture 3 HW
(
colab
)
|
| Lecture 4: Image Data |
|
Lecture 4 HW
(
colab
)
|
| Lecture 5: Exploring Real Datasets |
-
Exploring a Time-Series Dataset: Parkinsonian Gait
(
colab
)
-
Exploring an Image Dataset: Skin Cancer
(
colab
)
|
Lecture 5 HW
(
colab
)
|
