DengAI: Predicting Disease Spread — Imputation and Stationary Problems

Imputation

Basic imputation methods

The potential flaws of the knn approach

Model-based imputation methods

imputation_model = {
"model": RandomForestRegressor(random_state=28),
"param": {
"n_estimators": [100],
"max_depth": [int(x) for x in
np.linspace(10, 110, num=10)],
"min_samples_split": [2, 5, 10, 15, 100],
"min_samples_leaf": [1, 2, 5, 10]
}
}

Stationarity Problems — Seasonality and Trend

Seasonality

Deterministic Trends

Stochastic Trends — Unit roots

Finishing up

Helping non-profits and NGOs harness the power of their data. data4help.org

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