DengAI: Predicting Disease Spread — Imputation and Stationary Problems


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


Deterministic Trends

Stochastic Trends — Unit roots

Finishing up

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

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store