:Search:

Udemy Applied Empirical Economics with R and Machine Learning

Torrent:
Info Hash: 0A14EC73B3FDF2B39E2BACEEC59BA1D0FBC14435
Similar Posts:
Uploader: freecoursewb
Source: 1 Logo 1337x
Type: Tutorials
Language: English
Category: Other
Size: 2.8 GB
Added: Nov. 13, 2025, 12:25 a.m.
Peers: Seeders: 4, Leechers: 5 (Last updated: 5 months ago)
Tracker Data:
Tracker Seeders Leechers Completed
udp://open.stealth.si:80/announce 1 2 0
udp://exodus.desync.com:6969/announce 0 0 0
udp://tracker.cyberia.is:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.opentrackr.org:1337/announce 1 0 0
udp://tracker.torrent.eu.org:451/announce 1 0 0
udp://explodie.org:6969/announce 1 0 0
udp://tracker.birkenwald.de:6969/announce 0 2 0
udp://tracker.moeking.me:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://ipv4.tracker.harry.lu:80/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.rarbg.torrentbay.st:6969/announce 0 1 0
Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 - Overview.mp4 43.9 MB
  3. 10 - R-squared.mp4 11.0 MB
  4. 11 - Wine out-of-sample prediction.mp4 30.5 MB
  5. 2 - Linear Regression.mp4 30.2 MB
  6. 3 - Ordinary Least Squares Estimation.mp4 14.5 MB
  7. 4 - Estimating the Linear Regression in R.mp4 36.6 MB
  8. 5 - Regression Results and Adding Age as Explanatory Variable.mp4 21.6 MB
  9. 6 - Explaining effect of age on temperature coefficient.mp4 43.7 MB
  10. 7 - Channel Variables.mp4 20.5 MB
  11. 8 - Unobserved confounders.mp4 47.0 MB
  12. 9 - Log-level regression.mp4 48.4 MB
  13. 1 - Machine Learning.mp4 27.2 MB
  14. 10 - Bagging in Random Forests.mp4 20.9 MB
  15. 11 - Hyperparameter Tuning.mp4 27.1 MB
  16. 12 - Hyperparameter tuning with a validation data set.mp4 29.8 MB
  17. 13 - k-fold cross validation.mp4 31.8 MB
  18. 2 - Predications for training data sets.mp4 10.3 MB
  19. 3 - Predications for test data sets.mp4 9.4 MB
  20. 4 - Mean absolute error and root mean squared error.mp4 20.8 MB
  21. 5 - Overfitting.mp4 24.9 MB
  22. 6 - Regression Trees.mp4 17.8 MB
  23. 7 - Estimating a regression tree.mp4 25.7 MB
  24. 8 - Optional Regression trees and dummy variable regression.mp4 13.8 MB
  25. 9 - Random forests.mp4 8.0 MB
  26. 1 - Linear regression.mp4 44.5 MB
  27. 10 - Example continued..(1).mp4 6.4 MB
  28. 11 - Example continued..(2).mp4 21.9 MB
  29. 12 - Example continued..(3).mp4 31.9 MB
  30. 13 - Indogeneity and Exogeneity.mp4 55.6 MB
  31. 14 - Causal graphs and endogeneity.mp4 39.5 MB
  32. 15 - Bias of OLS estimator in the homework example.mp4 18.1 MB
  33. 16 - Bias of OLS estimator in the homework example cont..(1).mp4 17.5 MB
  34. 17 - Bias of OLS estimator in the homework example cont...(2).mp4 37.3 MB
  35. 18 - Bias of OLS estimator in the homework example cont...(3).mp4 15.9 MB
  36. 19 - Bias of OLS estimator in the homework example cont...(4).mp4 13.8 MB
  37. 2 - Estimating sample linear regression example.mp4 28.3 MB
  38. 20 - Bias of OLS estimator in the homework example cont...(5).mp4 16.6 MB
  39. 21 - Bias of OLS estimator in the homework example cont...(6).mp4 20.5 MB
  40. 22 - Are there sources of exogenous variation in our homework example.mp4 32.6 MB
  41. 23 - The causal effects of education.mp4 13.5 MB
  42. 24 - Abstract of two empirical studies.mp4 116.4 MB
  43. 25 - Randomized Experiments.mp4 29.5 MB
  44. 26 - Interpreting Effect Sizes.mp4 30.5 MB
  45. 27 - Non-linear effects.mp4 67.8 MB
  46. 28 - Heterogeneous effects.mp4 46.8 MB
  47. 3 - Estimating sample linear regression continued...(1).mp4 52.7 MB
  48. 4 - Estimating sample linear regression continued...(2).mp4 15.0 MB
  49. 5 - Estimating sample linear regression continued...(3).mp4 30.8 MB
  50. 6 - Formula standard error in simple linear regression.mp4 23.8 MB
  51. 7 - Simulated emperical distribution, convergence of OLS estimator, coefficients.mp4 29.7 MB
  52. 8 - Confidence intervals, t-values, p-values and significance stars.mp4 67.5 MB
  53. 9 - Example homework.mp4 11.5 MB
  54. 1 - Experiment - Study the Impact of Search Engine Advertisement.mp4 31.7 MB
  55. 10 - The parallel trends assumption.mp4 43.0 MB
  56. 2 - Controlled Experiments to Study Revenue Impact of SEM.mp4 38.6 MB
  57. 3 - Experiment continued.mp4 19.4 MB
  58. 4 - Difference in Difference Estimator.mp4 55.1 MB
  59. 5 - DiD estimation via linear regression.mp4 70.0 MB
  60. 6 - DiD estimation via linear regression cont.mp4 14.9 MB
  61. 7 - Fixed Effects Estimator.mp4 72.9 MB
  62. 8 - Cluster-Robust Standard Errors.mp4 43.9 MB
  63. 9 - Discussion The Effects of Search Engine Marketing.mp4 74.0 MB
  64. 1 - A large scale job counseling experiment.mp4 28.5 MB
  65. 10 - IV regression in our job counseling application.mp4 26.3 MB
  66. 11 - Excursion Should we worry about the small R-squared in the regressions.mp4 41.7 MB
  67. 12 - Which average treatment effect does our IV estimator estimate.mp4 32.2 MB
  68. 13 - The Rubin causal model and average treatment effects.mp4 87.4 MB
  69. 14 - IV estimator estimates local average treatment effect (LATE).mp4 83.1 MB
  70. 15 - Not perfectly randomized treatment allocation.mp4 16.8 MB
  71. 16 - Region fixed effects or inverse probability weighting.mp4 47.9 MB
  72. 17 - An example to motivate inverse probability weighting.mp4 120.3 MB
  73. 18 - 4 regressions for our inverse probability weighting example and discussion.mp4 84.6 MB
  74. 19 - Back to our job-counseling application.mp4 44.4 MB
  75. 2 - Experiment continued - the OLS Regression.mp4 42.5 MB
  76. 3 - Experiment continued - the endogeneity problem.mp4 22.5 MB
  77. 4 - Instrumental Variable Estimation.mp4 24.1 MB
  78. 5 - Instrumental Variable Estimation in a Simple Linear Regression.mp4 13.3 MB
  79. 6 - IV Estimation via Two-Stage Least Squares.mp4 45.2 MB
  80. 7 - Direct IV estimation.mp4 19.6 MB
  81. 8 - IV estimation with more than one instrument and with control variables.mp4 62.9 MB
  82. 9 - IV estimation in our job counseling application.mp4 22.0 MB
  83. Bonus Resources.txt 70 bytes

Discussion