forecasting
61
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
Fourier-based derivatives
56
LOESS-based derivatives
57
does order matter?
forecasting
58
motivation
59
forecasting tutorial
60
filling gaps
61
ARIMA
assignments
62
Evaluation
63
assignment 1
64
assignment 2
65
assignment 3
66
final project
technical stuff
67
technical stuff
68
datasets
69
date formatting
70
sources
behind-the-scenes
71
sliding window video
72
savgol video
73
API to download data from IMS
74
remove consecutive values
75
outliers graphs
make your own website
forecasting
61
ARIMA
61
ARIMA
Code
60
filling gaps
62
Evaluation