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