信息加载中,请等待...

小学初中大学电子教材大全
1 - 1 - Prediction motivation (8-26).mp4
1 - 2 - What is prediction- (8-39).mp4
1 - 3 - Relative importance of steps (9-45).mp4
1 - 4 - In and out of sample errors (6-57).mp4
1 - 5 - Prediction study design (9-05).mp4
1 - 6 - Types of errors (10-35).mp4
1 - 7 - Receiver Operating Characteristic (5-03).mp4
1 - 8 - Cross validation (8-20).mp4
1 - 9 - What data should you use- (6-01).mp4
2 - 1 - Caret package (6-16).mp4
2 - 2 - Data slicing (5-40).mp4
2 - 3 - Training options (7-15).mp4
2 - 4 - Plotting predictors (10-39).mp4
2 - 5 - Basic preprocessing (10-52).mp4
2 - 6 - Covariate creation (17-31).mp4
2 - 7 - Preprocessing with principal components analysis (14-07).mp4
2 - 8 - Predicting with Regression (12-22).mp4
2 - 9 - Predicting with Regression Multiple Covariates (11-12).mp4
3 - 1 - Predicting with trees (12-51).mp4
3 - 2 - Bagging (9-13).mp4
3 - 3 - Random Forests (6-49).mp4
3 - 4 - Boosting (7-08).mp4
3 - 5 - Model Based Prediction (11-39).mp4
4 - 1 - Regularized regression (13-20).mp4
4 - 2 - Combining predictors (7-11).mp4
4 - 3 - Forecasting.mp4
4 - 4 - Unsupervised Prediction (4-24).mp4
系统使用教程