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DATA WRANGLING

DATA SCIENCE

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PROPERTY PERIOD VALUE DELETE

Model Name

Visualize Summary Statistics

Test

granger-causality test Test (z t χ²)
kpss test (Kwiatkowski–Phillips–Schmidt–Shin tests) Test (z t χ²)
bds test Test (z t χ²)
ljung-box test Test (z t χ²)
autocovariance cov( x, y )
cross covariance xcov( x , y )
cross correlation xcorr( x , y )
pacf_yw alpha(k)
pacf_burg alpha(k)
pacf_ols alpha(k)
zivot_andrews Test (z t χ²)
ljung-box q_stat Test (z t χ²)
levinson_durbin Test (z t χ²)
innovations_algo Test (z t χ²)
levinson_durbin_pacf Test (z t χ²)
Portmanteau-test Test (z t χ²)
Season-Trend decomposition using LOESS. Data Wrangling
Season-Trend decomposition using Moving Averages. Data Wrangling
Impulse response analysis Test (z t χ²)

Forecast

ARMA/ARMAX y^ (y-hat)
ARIMA/ARIMAX y^ (y-hat)
SARIMA/SARIMAX y^ (y-hat)
Univariate autoregressive process y^ (y-hat)
Univariate autoregressive process results y^ (y-hat)
Markov switching dynamic regression and autoregression models y^ (y-hat)
Vector Autoregressive / Varmax y^ (y-hat)
Vector error correction model y^ (y-hat)
AdaBoost y^ (y-hat)
Gradient Boosting y^ (y-hat)
BaggingRegressor y^ (y-hat)
VotingRegressor y^ (y-hat)
MLXTend y^ (y-hat)
XGBoost y^ (y-hat)
Random Forest y^ (y-hat)
ExtraTreesRegressor y^ (y-hat)
StackingRegressor y^ (y-hat)
HistGradientBoostingRegressor y^ (y-hat)
LSTM y^ (y-hat)
Vanilla MLP y^ (y-hat)
CNN models y^ (y-hat)
Hybrid CNN-LSTM y^ (y-hat)
Encoder-Decoder LSTM multi step y^ (y-hat)
Symbolic regressor y^ (y-hat)
Extreme Learning Machines y^ (y-hat)
Gaussian process y^ (y-hat)

Data Wrangling

innovations_filter Data Wrangling
Interpolation Data Wrangling
Baxter-King bandpass filter Data Wrangling
Miso Filter convolution Data Wrangling
Autoregressive/Recursive, filtering Data Wrangling
Linear filtering via convolution Data Wrangling
Christiano Fitzgerald asymmetric, random walk filter. Data Wrangling
Hodrick-Prescott filter. Data Wrangling
Denton interpolation Data Wrangling
Lag-Matrix Data Wrangling
De-Trend Data Wrangling
Add Trend/Constant Data Wrangling

Clustering

dynamic time warping NA
scree plot NA
k-means NA
hierarchical clustering NA
density-based clustering NA
subspace clustering NA

Anamoly Detection

Anamoly detection in time series NA
similarity search NA

SUMMARY

RESULTS

DATA SNAPSHOT

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DATA SCIENCE LIBRARY

MODELS TRAINED

Univariate Library

Mean
Geo Mean
Std. Dev
Skewness
Mode
Maximum
Geo Std. Dev
Kurtosis
Median
Minimum
Median abs Dev
Seasonality
Jarque Berra Test

Univariate Forecasts

Average MSE
Average RMSE
Theil’s U1
Average MAE
Average MAPE
Maximum
Theil’s U2
Yearly percentage Error
Monthly percentage Error
Weekly percentage Error
Median abs Dev
Daily percentage Error

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