forecasting
60
ARIMA
Time Series Analysis
about
2024/2025 Schedule
who cares?
start here
1
the boring stuff you absolutely need to do
2
numpy, pandas, matplotlib
3
learn by example
4
AI policy
resampling
5
motivation
6
resampling
7
upsampling
8
interpolation
9
practice
10
FAQ
smoothing
11
motivation
12
sliding window
13
not only averages
14
practice
15
fit
16
Savitzky–Golay
outliers and gaps
17
motivation
18
outlier identification
19
robust analysis
20
sliding algorithms
21
substituting outliers
22
challenge
23
challenge part 2
24
filling missing values
stationarity
25
motivation
26
random variables
27
autoregressive processes
28
autocorrelation
29
stationarity
30
ACF and PACF graphs
31
from AR to ARIMA
32
practice
seasonality
33
motivation
34
seasonal decomposition from scratch
35
theory
36
widgets
time lags
37
motivation
38
cross-correlation
39
dynamic time warping
40
time lags practice
frequency
41
motivation
42
Fourier transform
43
DFT and FFT
44
sound & music
45
frequencies
46
filtering
47
convolution theorem
48
practice 1
49
practice 2
50
practice 3
51
filtering 1
52
filtering 2
53
filtering 3
rates of change
54
motivation
55
finite differences
56
Fourier-based derivatives
57
LOESS-based derivatives
58
does order matter?
forecasting
59
motivation
60
ARIMA
assignments
61
Evaluation
62
assignment 1
63
assignment 2
64
assignment 3
65
final project
technical stuff
66
technical stuff
67
datasets
68
date formatting
69
sources
behind-the-scenes
70
sliding window video
71
savgol video
72
API to download data from IMS
73
remove consecutive values
74
outliers graphs
make your own website
forecasting
60
ARIMA
60
ARIMA
Code
59
motivation
61
Evaluation