forecasting
62
ARIMA
Time Series Analysis
about
2026/2027 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
smoothing lab
16
fit
17
Savitzky–Golay
outliers and gaps
18
motivation
19
outlier identification
20
robust analysis
21
sliding algorithms
22
substituting outliers
23
challenge
24
challenge part 2
25
filling missing values
stationarity
26
motivation
27
random variables
28
autoregressive processes
29
autocorrelation
30
stationarity
31
ACF and PACF graphs
32
from AR to ARIMA
33
practice
seasonality
34
motivation
35
seasonal decomposition from scratch
36
theory
37
widgets
time lags
38
motivation
39
cross-correlation
40
dynamic time warping
41
time lags practice
frequency
42
motivation
43
Fourier transform
44
DFT and FFT
45
sound & music
46
frequencies
47
filtering
48
convolution theorem
49
practice 1
50
practice 2
51
practice 3
52
filtering 1
53
filtering 2
54
filtering 3
rates of change
55
motivation
56
Fourier-based derivatives
57
LOESS-based derivatives
58
does order matter?
forecasting
59
motivation
60
forecasting tutorial
61
filling gaps
62
ARIMA
homework
63
homework: resampling
64
homework: resampling answers
65
homework: smoothing
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
62
ARIMA
62
ARIMA
Code
61
filling gaps
63
homework: resampling