238.57 MB | 00:09:37 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 introduction-to-data-analysis-with-r (6.5 MB)
02 the-problem (6.18 MB)
03 understanding-the-data (6.14 MB)
04 r-packages-for-data-science (7.77 MB)
05 importing-and-exporting-data-in-r (9.68 MB)
06 getting-started-analyzing-data-in-r (5.29 MB)
01 pre-processing-data-in-r (3.28 MB)
02 dealing-with-missing-values-in-r (13.08 MB)
03 data-formatting-in-r (6.8 MB)
04 data-normalization-in-r (7.4 MB)
05 binning-in-r (5.83 MB)
06 turning-categorical-values-to-a-numeric-variable-in-r (6.29 MB)
01 descriptive-statistics (9.41 MB)
02 grouping-data-in-r (7.89 MB)
03 analysis-of-variance-anova-in-r (9.87 MB)
04 correlation-in-r (8.48 MB)
05 correlation-statistics (9.62 MB)
01 introduction-to-model-development (4.75 MB)
02 simple-linear-regression (13.46 MB)
03 multiple-linear-regression (6.95 MB)
04 assessing-models-visually (13.38 MB)
05 polynomial-regression (6.63 MB)
06 assessing-the-model (8.92 MB)
07 prediction-and-decision-making (8.74 MB)
01 model-evaluation (14.68 MB)
02 overfitting-and-underfitting (11.93 MB)
03 regularization (11.85 MB)
04 grid-search (7.29 MB)