908 MB | 00:19:03 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
03 introduction-to-foundations-and-instructor-stefan-szymanski.mp4 (46.35 MB)
04 faculty-introduction-wenche-wang.mp4 (2.03 MB)
05 pythagorean-expectation-baseball-part-1.mp4 (43.62 MB)
06 pythagorean-expectation-baseball-part-2.mp4 (20.75 MB)
07 pythagorean-expectation-the-ipl.mp4 (25.9 MB)
08 pythagorean-expectation-the-nba.mp4 (13.59 MB)
09 pythagorean-expectation-english-football.mp4 (23.02 MB)
10 pythagorean-expectation-as-a-predictor-in-the-mlb.mp4 (30.33 MB)
01 accessing-data-in-python-i.mp4 (24.67 MB)
02 accessing-data-in-python-ii.mp4 (21.48 MB)
03 data-exploration.mp4 (19.12 MB)
04 summary-statistics.mp4 (13.38 MB)
05 more-on-summary-statistics.mp4 (22.06 MB)
06 correlation-analysis.mp4 (23.06 MB)
01 data-representation-cricket-pt-1.mp4 (31.13 MB)
02 data-representation-cricket-pt-2.mp4 (28.19 MB)
03 data-representation-baseball.mp4 (30.98 MB)
04 data-representation-basketball.mp4 (33 MB)
01 introduction-to-regression-analysis.mp4 (18.51 MB)
02 interpreting-regression-results.mp4 (14.15 MB)
03 more-on-regressions.mp4 (15.64 MB)
04 regression-analysis-intro-to-cricket-data.mp4 (20.42 MB)
05 regression-analysis-batsmans-performance-and-salary.mp4 (15.9 MB)
06 regression-analysis-bowlers-performance-and-salary.mp4 (17.19 MB)
01 using-regression-analysis-an-example-with-nba-data.mp4 (37.51 MB)
02 using-regression-analysis-an-example-with-epl-data.mp4 (50.51 MB)
03 using-regression-analysis-an-example-with-mlb-data.mp4 (24.6 MB)
04 using-regression-analysis-an-example-with-nhl-data.mp4 (27.01 MB)
01 hot-hand-phenomenon-or-fallacy.mp4 (12.77 MB)
02 nba-shot-log-data-preparation-i.mp4 (14.31 MB)
03 nba-shot-log-data-preparation-ii.mp4 (11.11 MB)
04 conditional-probability.mp4 (12.49 MB)
05 conditional-and-unconditional-probabilities.mp4 (10.43 MB)
06 autocorrelation.mp4 (17.44 MB)
07 regression-analysis-on-hot-hand-i.mp4 (17.57 MB)
08 regression-analysis-on-hot-hand-ii.mp4 (25.64 MB)]
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