CPSC 330 Lecture 7: imputation, scaling numeric features, `ColumnTransformer`

CPSC 330 Lecture 7: imputation, scaling numeric features, `ColumnTransformer`

CPSC 330 Lecture 11: prediction intervals, feature importancesПодробнее

CPSC 330 Lecture 11: prediction intervals, feature importances

CPSC 330 bonus segment: `SGDClassifier` and `SGDRegressor`Подробнее

CPSC 330 bonus segment: `SGDClassifier` and `SGDRegressor`

CPSC 330 Lecture 17: time series dataПодробнее

CPSC 330 Lecture 17: time series data

CPSC 330 Lecture 10: linear regression, scoring metrics for regressionПодробнее

CPSC 330 Lecture 10: linear regression, scoring metrics for regression

Simplify Data Preprocessing with Python's Column Transformer: A Step-by-Step GuideПодробнее

Simplify Data Preprocessing with Python's Column Transformer: A Step-by-Step Guide

Use ColumnTransformer to apply different preprocessing to different columnsПодробнее

Use ColumnTransformer to apply different preprocessing to different columns

CPSC 330 Lecture 5: pipelines & hyperparameter optimizationПодробнее

CPSC 330 Lecture 5: pipelines & hyperparameter optimization

CPSC 330 Lecture 4: logistic regression, word counts, `predict_proba`Подробнее

CPSC 330 Lecture 4: logistic regression, word counts, `predict_proba`

CPSC 330 Lecture 16: outliersПодробнее

CPSC 330 Lecture 16: outliers

1277 - A Variational Information Bottleneck Based Method to Compress Sequential Networks for HumanПодробнее

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