master-statistics-and-machine-learning-intuition-math-code

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Files
  1. 0. Websites you may like/[CourseClub.ME].url 122B
  2. 0. Websites you may like/[FCS Forum].url 133B
  3. 0. Websites you may like/[FreeCourseSite.com].url 127B
  4. 01 Introductions/001 [Important] Getting the most out of this course.en.srt 6.30KB
  5. 01 Introductions/001 [Important] Getting the most out of this course.ia.mp4 38.04MB
  6. 01 Introductions/001 [Important] Getting the most out of this course.mp4 38.04MB
  7. 01 Introductions/002 About using MATLAB or Python.en.srt 6.17KB
  8. 01 Introductions/002 About using MATLAB or Python.ia.mp4 38.91MB
  9. 01 Introductions/002 About using MATLAB or Python.mp4 38.91MB
  10. 01 Introductions/003 Statistics guessing game!.en.srt 13.88KB
  11. 01 Introductions/003 Statistics guessing game!.ia.mp4 80.31MB
  12. 01 Introductions/003 Statistics guessing game!.mp4 80.31MB
  13. 01 Introductions/003 stats-intro-GuessTheTest.zip 3.72KB
  14. 01 Introductions/004 Using the Q&A forum.en.srt 8.48KB
  15. 01 Introductions/004 Using the Q&A forum.ia.mp4 24.47MB
  16. 01 Introductions/004 Using the Q&A forum.mp4 24.47MB
  17. 01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.en.srt 3.23KB
  18. 01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.ia.mp4 8.46MB
  19. 01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.mp4 8.46MB
  20. 02 Math prerequisites/006 Should you memorize statistical formulas_.en.srt 4.32KB
  21. 02 Math prerequisites/006 Should you memorize statistical formulas_.ia.mp4 28.04MB
  22. 02 Math prerequisites/006 Should you memorize statistical formulas_.mp4 28.04MB
  23. 02 Math prerequisites/007 Arithmetic and exponents.en.srt 5.85KB
  24. 02 Math prerequisites/007 Arithmetic and exponents.ia.mp4 7.62MB
  25. 02 Math prerequisites/007 Arithmetic and exponents.mp4 7.62MB
  26. 02 Math prerequisites/008 Scientific notation.en.srt 9.10KB
  27. 02 Math prerequisites/008 Scientific notation.ia.mp4 12.96MB
  28. 02 Math prerequisites/008 Scientific notation.mp4 12.96MB
  29. 02 Math prerequisites/009 Summation notation.en.srt 6.25KB
  30. 02 Math prerequisites/009 Summation notation.ia.mp4 7.80MB
  31. 02 Math prerequisites/009 Summation notation.mp4 7.80MB
  32. 02 Math prerequisites/010 Absolute value.en.srt 4.34KB
  33. 02 Math prerequisites/010 Absolute value.ia.mp4 6.97MB
  34. 02 Math prerequisites/010 Absolute value.mp4 6.97MB
  35. 02 Math prerequisites/011 Natural exponent and logarithm.en.srt 8.38KB
  36. 02 Math prerequisites/011 Natural exponent and logarithm.ia.mp4 12.28MB
  37. 02 Math prerequisites/011 Natural exponent and logarithm.mp4 12.28MB
  38. 02 Math prerequisites/012 The logistic function.en.srt 13.67KB
  39. 02 Math prerequisites/012 The logistic function.ia.mp4 18.03MB
  40. 02 Math prerequisites/012 The logistic function.mp4 18.03MB
  41. 02 Math prerequisites/013 Rank and tied-rank.en.srt 9.96KB
  42. 02 Math prerequisites/013 Rank and tied-rank.ia.mp4 12.94MB
  43. 02 Math prerequisites/013 Rank and tied-rank.mp4 12.94MB
  44. 03 IMPORTANT_ Download course materials/014 Download materials for the entire course!.en.srt 5.62KB
  45. 03 IMPORTANT_ Download course materials/014 Download materials for the entire course!.ia.mp4 14.52MB
  46. 03 IMPORTANT_ Download course materials/014 Download materials for the entire course!.mp4 14.52MB
  47. 03 IMPORTANT_ Download course materials/014 statsML.zip 1.42MB
  48. 04 What are (is_) data_/015 Is _data_ singular or plural_!_!!_!.en.srt 2.42KB
  49. 04 What are (is_) data_/015 Is _data_ singular or plural_!_!!_!.ia.mp4 10.89MB
  50. 04 What are (is_) data_/015 Is _data_ singular or plural_!_!!_!.mp4 10.89MB
  51. 04 What are (is_) data_/016 Where do data come from and what do they mean_.en.srt 8.74KB
  52. 04 What are (is_) data_/016 Where do data come from and what do they mean_.ia.mp4 35.62MB
  53. 04 What are (is_) data_/016 Where do data come from and what do they mean_.mp4 35.62MB
  54. 04 What are (is_) data_/017 Types of data_ categorical, numerical, etc.en.srt 21.77KB
  55. 04 What are (is_) data_/017 Types of data_ categorical, numerical, etc.ia.mp4 59.62MB
  56. 04 What are (is_) data_/017 Types of data_ categorical, numerical, etc.mp4 59.62MB
  57. 04 What are (is_) data_/018 Code_ representing types of data on computers.en.srt 13.67KB
  58. 04 What are (is_) data_/018 Code_ representing types of data on computers.ia.mp4 47.94MB
  59. 04 What are (is_) data_/018 Code_ representing types of data on computers.mp4 47.94MB
  60. 04 What are (is_) data_/019 Sample vs. population data.en.srt 17.89KB
  61. 04 What are (is_) data_/019 Sample vs. population data.ia.mp4 37.27MB
  62. 04 What are (is_) data_/019 Sample vs. population data.mp4 37.27MB
  63. 04 What are (is_) data_/020 Samples, case reports, and anecdotes.en.srt 7.98KB
  64. 04 What are (is_) data_/020 Samples, case reports, and anecdotes.ia.mp4 17.88MB
  65. 04 What are (is_) data_/020 Samples, case reports, and anecdotes.mp4 17.88MB
  66. 04 What are (is_) data_/021 The ethics of making up data.en.srt 10.72KB
  67. 04 What are (is_) data_/021 The ethics of making up data.ia.mp4 19.76MB
  68. 04 What are (is_) data_/021 The ethics of making up data.mp4 19.76MB
  69. 05 Visualizing data/022 Bar plots.en.srt 17.75KB
  70. 05 Visualizing data/022 Bar plots.ia.mp4 37.01MB
  71. 05 Visualizing data/022 Bar plots.mp4 37.01MB
  72. 05 Visualizing data/023 Code_ bar plots.en.srt 26.48KB
  73. 05 Visualizing data/023 Code_ bar plots.ia.mp4 100.24MB
  74. 05 Visualizing data/023 Code_ bar plots.mp4 100.24MB
  75. 05 Visualizing data/024 Box-and-whisker plots.en.srt 8.15KB
  76. 05 Visualizing data/024 Box-and-whisker plots.ia.mp4 11.21MB
  77. 05 Visualizing data/024 Box-and-whisker plots.mp4 11.21MB
  78. 05 Visualizing data/025 Code_ box plots.en.srt 13.30KB
  79. 05 Visualizing data/025 Code_ box plots.ia.mp4 83.68MB
  80. 05 Visualizing data/025 Code_ box plots.mp4 83.68MB
  81. 05 Visualizing data/026 _Unsupervised learning__ Boxplots of normal and uniform noise.en.srt 3.89KB
  82. 05 Visualizing data/026 _Unsupervised learning__ Boxplots of normal and uniform noise.ia.mp4 8.27MB
  83. 05 Visualizing data/026 _Unsupervised learning__ Boxplots of normal and uniform noise.mp4 8.27MB
  84. 05 Visualizing data/027 Histograms.en.srt 16.45KB
  85. 05 Visualizing data/027 Histograms.ia.mp4 43.91MB
  86. 05 Visualizing data/027 Histograms.mp4 43.91MB
  87. 05 Visualizing data/028 Code_ histograms.en.srt 25.25KB
  88. 05 Visualizing data/028 Code_ histograms.ia.mp4 133.75MB
  89. 05 Visualizing data/028 Code_ histograms.mp4 133.75MB
  90. 05 Visualizing data/029 _Unsupervised learning__ Histogram proportion.en.srt 3.54KB
  91. 05 Visualizing data/029 _Unsupervised learning__ Histogram proportion.ia.mp4 11.83MB
  92. 05 Visualizing data/029 _Unsupervised learning__ Histogram proportion.mp4 11.83MB
  93. 05 Visualizing data/030 Pie charts.en.srt 8.83KB
  94. 05 Visualizing data/030 Pie charts.ia.mp4 16.63MB
  95. 05 Visualizing data/030 Pie charts.mp4 16.63MB
  96. 05 Visualizing data/031 Code_ pie charts.en.srt 20.19KB
  97. 05 Visualizing data/031 Code_ pie charts.ia.mp4 69.24MB
  98. 05 Visualizing data/031 Code_ pie charts.mp4 69.24MB
  99. 05 Visualizing data/032 When to use lines instead of bars.en.srt 8.98KB
  100. 05 Visualizing data/032 When to use lines instead of bars.ia.mp4 18.08MB
  101. 05 Visualizing data/032 When to use lines instead of bars.mp4 18.08MB
  102. 05 Visualizing data/033 Linear vs. logarithmic axis scaling.en.srt 12.99KB
  103. 05 Visualizing data/033 Linear vs. logarithmic axis scaling.ia.mp4 25.66MB
  104. 05 Visualizing data/033 Linear vs. logarithmic axis scaling.mp4 25.66MB
  105. 05 Visualizing data/034 Code_ line plots.en.srt 11.32KB
  106. 05 Visualizing data/034 Code_ line plots.ia.mp4 37.42MB
  107. 05 Visualizing data/034 Code_ line plots.mp4 37.42MB
  108. 05 Visualizing data/035 _Unsupervised learning__ log-scaled plots.en.srt 2.57KB
  109. 05 Visualizing data/035 _Unsupervised learning__ log-scaled plots.ia.mp4 3.75MB
  110. 05 Visualizing data/035 _Unsupervised learning__ log-scaled plots.mp4 3.75MB
  111. 06 Descriptive statistics/036 Descriptive vs. inferential statistics.en.srt 6.63KB
  112. 06 Descriptive statistics/036 Descriptive vs. inferential statistics.ia.mp4 21.56MB
  113. 06 Descriptive statistics/036 Descriptive vs. inferential statistics.mp4 21.56MB
  114. 06 Descriptive statistics/037 Accuracy, precision, resolution.en.srt 11.88KB
  115. 06 Descriptive statistics/037 Accuracy, precision, resolution.ia.mp4 25.54MB
  116. 06 Descriptive statistics/037 Accuracy, precision, resolution.mp4 25.54MB
  117. 06 Descriptive statistics/038 Data distributions.en.srt 17.43KB
  118. 06 Descriptive statistics/038 Data distributions.ia.mp4 32.14MB
  119. 06 Descriptive statistics/038 Data distributions.mp4 32.14MB
  120. 06 Descriptive statistics/039 Code_ data from different distributions.en.srt 47.83KB
  121. 06 Descriptive statistics/039 Code_ data from different distributions.ia.mp4 303.53MB
  122. 06 Descriptive statistics/039 Code_ data from different distributions.mp4 303.53MB
  123. 06 Descriptive statistics/040 _Unsupervised learning__ histograms of distributions.en.srt 3.19KB
  124. 06 Descriptive statistics/040 _Unsupervised learning__ histograms of distributions.ia.mp4 10.21MB
  125. 06 Descriptive statistics/040 _Unsupervised learning__ histograms of distributions.mp4 10.21MB
  126. 06 Descriptive statistics/041 The beauty and simplicity of Normal.en.srt 7.93KB
  127. 06 Descriptive statistics/041 The beauty and simplicity of Normal.ia.mp4 10.31MB
  128. 06 Descriptive statistics/041 The beauty and simplicity of Normal.mp4 10.31MB
  129. 06 Descriptive statistics/042 Measures of central tendency (mean).en.srt 19.78KB
  130. 06 Descriptive statistics/042 Measures of central tendency (mean).ia.mp4 38.91MB
  131. 06 Descriptive statistics/042 Measures of central tendency (mean).mp4 38.91MB
  132. 06 Descriptive statistics/043 Measures of central tendency (median, mode).en.srt 18.95KB
  133. 06 Descriptive statistics/043 Measures of central tendency (median, mode).ia.mp4 34.45MB
  134. 06 Descriptive statistics/043 Measures of central tendency (median, mode).mp4 34.45MB
  135. 06 Descriptive statistics/044 Code_ computing central tendency.en.srt 20.95KB
  136. 06 Descriptive statistics/044 Code_ computing central tendency.ia.mp4 76.27MB
  137. 06 Descriptive statistics/044 Code_ computing central tendency.mp4 76.27MB
  138. 06 Descriptive statistics/045 _Unsupervised learning__ central tendencies with outliers.en.srt 4.48KB
  139. 06 Descriptive statistics/045 _Unsupervised learning__ central tendencies with outliers.ia.mp4 16.79MB
  140. 06 Descriptive statistics/045 _Unsupervised learning__ central tendencies with outliers.mp4 16.79MB
  141. 06 Descriptive statistics/046 Measures of dispersion (variance, standard deviation).en.srt 27.35KB
  142. 06 Descriptive statistics/046 Measures of dispersion (variance, standard deviation).ia.mp4 54.41MB
  143. 06 Descriptive statistics/046 Measures of dispersion (variance, standard deviation).mp4 54.41MB
  144. 06 Descriptive statistics/047 Code_ Computing dispersion.en.srt 38.67KB
  145. 06 Descriptive statistics/047 Code_ Computing dispersion.ia.mp4 266.53MB
  146. 06 Descriptive statistics/047 Code_ Computing dispersion.mp4 266.53MB
  147. 06 Descriptive statistics/048 Interquartile range (IQR).en.srt 7.29KB
  148. 06 Descriptive statistics/048 Interquartile range (IQR).ia.mp4 9.91MB
  149. 06 Descriptive statistics/048 Interquartile range (IQR).mp4 9.91MB
  150. 06 Descriptive statistics/049 Code_ IQR.en.srt 24.41KB
  151. 06 Descriptive statistics/049 Code_ IQR.ia.mp4 83.65MB
  152. 06 Descriptive statistics/049 Code_ IQR.mp4 83.65MB
  153. 06 Descriptive statistics/050 QQ plots.en.srt 10.58KB
  154. 06 Descriptive statistics/050 QQ plots.ia.mp4 16.34MB
  155. 06 Descriptive statistics/050 QQ plots.mp4 16.34MB
  156. 06 Descriptive statistics/051 Code_ QQ plots.en.srt 24.47KB
  157. 06 Descriptive statistics/051 Code_ QQ plots.ia.mp4 90.55MB
  158. 06 Descriptive statistics/051 Code_ QQ plots.mp4 90.55MB
  159. 06 Descriptive statistics/052 Statistical _moments_.en.srt 13.63KB
  160. 06 Descriptive statistics/052 Statistical _moments_.ia.mp4 21.81MB
  161. 06 Descriptive statistics/052 Statistical _moments_.mp4 21.81MB
  162. 06 Descriptive statistics/053 Histograms part 2_ Number of bins.en.srt 14.90KB
  163. 06 Descriptive statistics/053 Histograms part 2_ Number of bins.ia.mp4 23.53MB
  164. 06 Descriptive statistics/053 Histograms part 2_ Number of bins.mp4 23.53MB
  165. 06 Descriptive statistics/054 Code_ Histogram bins.en.srt 18.59KB
  166. 06 Descriptive statistics/054 Code_ Histogram bins.ia.mp4 118.27MB
  167. 06 Descriptive statistics/054 Code_ Histogram bins.mp4 118.27MB
  168. 06 Descriptive statistics/055 Violin plots.en.srt 5.19KB
  169. 06 Descriptive statistics/055 Violin plots.ia.mp4 6.53MB
  170. 06 Descriptive statistics/055 Violin plots.mp4 6.53MB
  171. 06 Descriptive statistics/056 Code_ violin plots.en.srt 16.08KB
  172. 06 Descriptive statistics/056 Code_ violin plots.ia.mp4 105.08MB
  173. 06 Descriptive statistics/056 Code_ violin plots.mp4 105.08MB
  174. 06 Descriptive statistics/057 _Unsupervised learning__ asymmetric violin plots.en.srt 4.01KB
  175. 06 Descriptive statistics/057 _Unsupervised learning__ asymmetric violin plots.ia.mp4 17.37MB
  176. 06 Descriptive statistics/057 _Unsupervised learning__ asymmetric violin plots.mp4 17.37MB
  177. 06 Descriptive statistics/058 Shannon entropy.en.srt 16.14KB
  178. 06 Descriptive statistics/058 Shannon entropy.ia.mp4 33.23MB
  179. 06 Descriptive statistics/058 Shannon entropy.mp4 33.23MB
  180. 06 Descriptive statistics/059 Code_ entropy.en.srt 31.58KB
  181. 06 Descriptive statistics/059 Code_ entropy.ia.mp4 110.34MB
  182. 06 Descriptive statistics/059 Code_ entropy.mp4 110.34MB
  183. 06 Descriptive statistics/060 _Unsupervised learning__ entropy and number of bins.en.srt 2.09KB
  184. 06 Descriptive statistics/060 _Unsupervised learning__ entropy and number of bins.ia.mp4 8.27MB
  185. 06 Descriptive statistics/060 _Unsupervised learning__ entropy and number of bins.mp4 8.27MB
  186. 07 Data normalizations and outliers/061 Garbage in, garbage out (GIGO).en.srt 5.90KB
  187. 07 Data normalizations and outliers/061 Garbage in, garbage out (GIGO).ia.mp4 11.61MB
  188. 07 Data normalizations and outliers/061 Garbage in, garbage out (GIGO).mp4 11.61MB
  189. 07 Data normalizations and outliers/062 Z-score standardization.en.srt 14.89KB
  190. 07 Data normalizations and outliers/062 Z-score standardization.ia.mp4 36.38MB
  191. 07 Data normalizations and outliers/062 Z-score standardization.mp4 36.38MB
  192. 07 Data normalizations and outliers/063 Code_ z-score.en.srt 20.05KB
  193. 07 Data normalizations and outliers/063 Code_ z-score.ia.mp4 66.96MB
  194. 07 Data normalizations and outliers/063 Code_ z-score.mp4 66.96MB
  195. 07 Data normalizations and outliers/064 Min-max scaling.en.srt 7.52KB
  196. 07 Data normalizations and outliers/064 Min-max scaling.ia.mp4 11.74MB
  197. 07 Data normalizations and outliers/064 Min-max scaling.mp4 11.74MB
  198. 07 Data normalizations and outliers/065 Code_ min-max scaling.en.srt 13.11KB
  199. 07 Data normalizations and outliers/065 Code_ min-max scaling.ia.mp4 40.53MB
  200. 07 Data normalizations and outliers/065 Code_ min-max scaling.mp4 40.53MB
  201. 07 Data normalizations and outliers/066 _Unsupervised learning__ Invert the min-max scaling.en.srt 3.77KB
  202. 07 Data normalizations and outliers/066 _Unsupervised learning__ Invert the min-max scaling.ia.mp4 6.82MB
  203. 07 Data normalizations and outliers/066 _Unsupervised learning__ Invert the min-max scaling.mp4 6.82MB
  204. 07 Data normalizations and outliers/067 What are outliers and why are they dangerous_.en.srt 22.43KB
  205. 07 Data normalizations and outliers/067 What are outliers and why are they dangerous_.ia.mp4 43.23MB
  206. 07 Data normalizations and outliers/067 What are outliers and why are they dangerous_.mp4 43.23MB
  207. 07 Data normalizations and outliers/068 Removing outliers_ z-score method.en.srt 14.72KB
  208. 07 Data normalizations and outliers/068 Removing outliers_ z-score method.ia.mp4 33.66MB
  209. 07 Data normalizations and outliers/068 Removing outliers_ z-score method.mp4 33.66MB
  210. 07 Data normalizations and outliers/069 The modified z-score method.en.srt 6.13KB
  211. 07 Data normalizations and outliers/069 The modified z-score method.ia.mp4 9.68MB
  212. 07 Data normalizations and outliers/069 The modified z-score method.mp4 9.68MB
  213. 07 Data normalizations and outliers/070 Code_ z-score for outlier removal.en.srt 35.06KB
  214. 07 Data normalizations and outliers/070 Code_ z-score for outlier removal.ia.mp4 137.22MB
  215. 07 Data normalizations and outliers/070 Code_ z-score for outlier removal.mp4 137.22MB
  216. 07 Data normalizations and outliers/071 _Unsupervised learning__ z vs. modified-z.en.srt 3.99KB
  217. 07 Data normalizations and outliers/071 _Unsupervised learning__ z vs. modified-z.ia.mp4 9.07MB
  218. 07 Data normalizations and outliers/071 _Unsupervised learning__ z vs. modified-z.mp4 9.07MB
  219. 07 Data normalizations and outliers/072 Multivariate outlier detection.en.srt 14.97KB
  220. 07 Data normalizations and outliers/072 Multivariate outlier detection.ia.mp4 25.19MB
  221. 07 Data normalizations and outliers/072 Multivariate outlier detection.mp4 25.19MB
  222. 07 Data normalizations and outliers/073 Code_ Euclidean distance for outlier removal.en.srt 13.29KB
  223. 07 Data normalizations and outliers/073 Code_ Euclidean distance for outlier removal.ia.mp4 43.84MB
  224. 07 Data normalizations and outliers/073 Code_ Euclidean distance for outlier removal.mp4 43.84MB
  225. 07 Data normalizations and outliers/074 Removing outliers by data trimming.en.srt 8.87KB
  226. 07 Data normalizations and outliers/074 Removing outliers by data trimming.ia.mp4 16.99MB
  227. 07 Data normalizations and outliers/074 Removing outliers by data trimming.mp4 16.99MB
  228. 07 Data normalizations and outliers/075 Code_ Data trimming to remove outliers.en.srt 16.97KB
  229. 07 Data normalizations and outliers/075 Code_ Data trimming to remove outliers.ia.mp4 65.43MB
  230. 07 Data normalizations and outliers/075 Code_ Data trimming to remove outliers.mp4 65.43MB
  231. 07 Data normalizations and outliers/076 Non-parametric solutions to outliers.en.srt 6.58KB
  232. 07 Data normalizations and outliers/076 Non-parametric solutions to outliers.ia.mp4 23.05MB
  233. 07 Data normalizations and outliers/076 Non-parametric solutions to outliers.mp4 23.05MB
  234. 07 Data normalizations and outliers/077 An outlier lecture on personal accountability.en.srt 4.28KB
  235. 07 Data normalizations and outliers/077 An outlier lecture on personal accountability.ia.mp4 17.83MB
  236. 07 Data normalizations and outliers/077 An outlier lecture on personal accountability.mp4 17.83MB
  237. 08 Probability theory/078 What is probability_.en.srt 18.66KB
  238. 08 Probability theory/078 What is probability_.ia.mp4 41.32MB
  239. 08 Probability theory/078 What is probability_.mp4 41.32MB
  240. 08 Probability theory/079 Probability vs. proportion.en.srt 14.74KB
  241. 08 Probability theory/079 Probability vs. proportion.ia.mp4 37.66MB
  242. 08 Probability theory/079 Probability vs. proportion.mp4 37.66MB
  243. 08 Probability theory/080 Computing probabilities.en.srt 15.77KB
  244. 08 Probability theory/080 Computing probabilities.ia.mp4 37.69MB
  245. 08 Probability theory/080 Computing probabilities.mp4 37.69MB
  246. 08 Probability theory/081 Code_ compute probabilities.en.srt 22.97KB
  247. 08 Probability theory/081 Code_ compute probabilities.ia.mp4 137.11MB
  248. 08 Probability theory/081 Code_ compute probabilities.mp4 137.11MB
  249. 08 Probability theory/082 Probability and odds.en.srt 7.22KB
  250. 08 Probability theory/082 Probability and odds.ia.mp4 12.01MB
  251. 08 Probability theory/082 Probability and odds.mp4 12.01MB
  252. 08 Probability theory/083 _Unsupervised learning__ probabilities of odds-space.en.srt 3.26KB
  253. 08 Probability theory/083 _Unsupervised learning__ probabilities of odds-space.ia.mp4 5.96MB
  254. 08 Probability theory/083 _Unsupervised learning__ probabilities of odds-space.mp4 5.96MB
  255. 08 Probability theory/084 Probability mass vs. density.en.srt 19.16KB
  256. 08 Probability theory/084 Probability mass vs. density.ia.mp4 134.39MB
  257. 08 Probability theory/084 Probability mass vs. density.mp4 134.39MB
  258. 08 Probability theory/085 Code_ compute probability mass functions.en.srt 16.60KB
  259. 08 Probability theory/085 Code_ compute probability mass functions.ia.mp4 66.29MB
  260. 08 Probability theory/085 Code_ compute probability mass functions.mp4 66.29MB
  261. 08 Probability theory/086 Cumulative probability distributions.en.srt 16.39KB
  262. 08 Probability theory/086 Cumulative probability distributions.ia.mp4 36.73MB
  263. 08 Probability theory/086 Cumulative probability distributions.mp4 36.73MB
  264. 08 Probability theory/087 Code_ cdfs and pdfs.en.srt 14.71KB
  265. 08 Probability theory/087 Code_ cdfs and pdfs.ia.mp4 42.28MB
  266. 08 Probability theory/087 Code_ cdfs and pdfs.mp4 42.28MB
  267. 08 Probability theory/088 _Unsupervised learning__ cdf's for various distributions.en.srt 3.44KB
  268. 08 Probability theory/088 _Unsupervised learning__ cdf's for various distributions.ia.mp4 9.35MB
  269. 08 Probability theory/088 _Unsupervised learning__ cdf's for various distributions.mp4 9.35MB
  270. 08 Probability theory/089 Creating sample estimate distributions.en.srt 28.87KB
  271. 08 Probability theory/089 Creating sample estimate distributions.ia.mp4 125.23MB
  272. 08 Probability theory/089 Creating sample estimate distributions.mp4 125.23MB
  273. 08 Probability theory/090 Monte Carlo sampling.en.srt 3.96KB
  274. 08 Probability theory/090 Monte Carlo sampling.ia.mp4 16.35MB
  275. 08 Probability theory/090 Monte Carlo sampling.mp4 16.35MB
  276. 08 Probability theory/091 Sampling variability, noise, and other annoyances.en.srt 13.57KB
  277. 08 Probability theory/091 Sampling variability, noise, and other annoyances.ia.mp4 106.24MB
  278. 08 Probability theory/091 Sampling variability, noise, and other annoyances.mp4 106.24MB
  279. 08 Probability theory/092 Code_ sampling variability.en.srt 39.81KB
  280. 08 Probability theory/092 Code_ sampling variability.ia.mp4 155.12MB
  281. 08 Probability theory/092 Code_ sampling variability.mp4 155.12MB
  282. 08 Probability theory/093 Expected value.en.srt 16.02KB
  283. 08 Probability theory/093 Expected value.ia.mp4 59.79MB
  284. 08 Probability theory/093 Expected value.mp4 59.79MB
  285. 08 Probability theory/094 Conditional probability.en.srt 19.61KB
  286. 08 Probability theory/094 Conditional probability.ia.mp4 85.95MB
  287. 08 Probability theory/094 Conditional probability.mp4 85.95MB
  288. 08 Probability theory/095 Code_ conditional probabilities.en.srt 30.85KB
  289. 08 Probability theory/095 Code_ conditional probabilities.ia.mp4 115.37MB
  290. 08 Probability theory/095 Code_ conditional probabilities.mp4 115.37MB
  291. 08 Probability theory/096 Tree diagrams for conditional probabilities.en.srt 10.34KB
  292. 08 Probability theory/096 Tree diagrams for conditional probabilities.ia.mp4 13.61MB
  293. 08 Probability theory/096 Tree diagrams for conditional probabilities.mp4 13.61MB
  294. 08 Probability theory/097 The Law of Large Numbers.en.srt 14.99KB
  295. 08 Probability theory/097 The Law of Large Numbers.ia.mp4 40.72MB
  296. 08 Probability theory/097 The Law of Large Numbers.mp4 40.72MB
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  300. 08 Probability theory/099 The Central Limit Theorem.en.srt 16.18KB
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  306. 08 Probability theory/101 _Unsupervised learning__ Averaging pairs of numbers.en.srt 3.32KB
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  309. 09 Hypothesis testing/102 IVs, DVs, models, and other stats lingo.en.srt 25.29KB
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  312. 09 Hypothesis testing/103 What is an hypothesis and how do you specify one_.en.srt 24.33KB
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  315. 09 Hypothesis testing/104 Sample distributions under null and alternative hypotheses.en.srt 15.25KB
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  318. 09 Hypothesis testing/105 P-values_ definition, tails, and misinterpretations.en.srt 27.94KB
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  324. 09 Hypothesis testing/107 Degrees of freedom.en.srt 19.38KB
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  330. 09 Hypothesis testing/109 Parametric vs. non-parametric tests.en.srt 13.35KB
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  333. 09 Hypothesis testing/110 Multiple comparisons and Bonferroni correction.en.srt 13.01KB
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  339. 09 Hypothesis testing/112 Cross-validation.en.srt 17.07KB
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  342. 09 Hypothesis testing/113 Statistical significance vs. classification accuracy.en.srt 17.72KB
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  345. 10 The t-test family/114 Purpose and interpretation of the t-test.en.srt 19.67KB
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  348. 10 The t-test family/115 One-sample t-test.en.srt 12.06KB
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  363. 10 The t-test family/120 _Unsupervised learning__ Importance of N for t-test.en.srt 7.14KB
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  366. 10 The t-test family/121 Wilcoxon signed-rank (nonparametric t-test).en.srt 10.84KB
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  372. 10 The t-test family/123 Mann-Whitney U test (nonparametric t-test).en.srt 9.20KB
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  378. 10 The t-test family/125 Permutation testing for t-test significance.en.srt 17.00KB
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  384. 10 The t-test family/127 _Unsupervised learning__ How many permutations_.en.srt 8.05KB
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  387. 11 Confidence intervals on parameters/128 What are confidence intervals and why do we need them_.en.srt 13.66KB
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  390. 11 Confidence intervals on parameters/129 Computing confidence intervals via formula.en.srt 10.30KB
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  396. 11 Confidence intervals on parameters/131 Confidence intervals via bootstrapping (resampling).en.srt 13.33KB
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  402. 11 Confidence intervals on parameters/133 _Unsupervised learning__ Confidence intervals for variance.en.srt 1.96KB
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  405. 11 Confidence intervals on parameters/134 Misconceptions about confidence intervals.en.srt 9.45KB
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  408. 12 Correlation/135 Motivation and description of correlation.en.srt 28.49KB
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  411. 12 Correlation/136 Covariance and correlation_ formulas.en.srt 21.67KB
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  414. 12 Correlation/137 Code_ correlation coefficient.en.srt 42.12KB
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  417. 12 Correlation/138 Code_ Simulate data with specified correlation.en.srt 20.84KB
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  420. 12 Correlation/139 Correlation matrix.en.srt 14.17KB
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  426. 12 Correlation/141 _Unsupervised learning__ average correlation matrices.en.srt 4.23KB
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  429. 12 Correlation/142 _Unsupervised learning__ correlation to covariance matrix.en.srt 6.03KB
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  432. 12 Correlation/143 Partial correlation.en.srt 16.04KB
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  435. 12 Correlation/144 Code_ partial correlation.en.srt 30.63KB
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  438. 12 Correlation/145 The problem with Pearson.en.srt 10.28KB
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  441. 12 Correlation/146 Nonparametric correlation_ Spearman rank.en.srt 11.17KB
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  444. 12 Correlation/147 Fisher-Z transformation for correlations.en.srt 10.25KB
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  447. 12 Correlation/148 Code_ Spearman correlation and Fisher-Z.en.srt 11.55KB
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  450. 12 Correlation/149 _Unsupervised learning__ Spearman correlation.en.srt 1.92KB
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  453. 12 Correlation/150 _Unsupervised learning__ confidence interval on correlation.en.srt 3.44KB
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  456. 12 Correlation/151 Kendall's correlation for ordinal data.en.srt 15.85KB
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  459. 12 Correlation/152 Code_ Kendall correlation.en.srt 27.92KB
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  462. 12 Correlation/153 _Unsupervised learning__ Does Kendall vs. Pearson matter_.en.srt 3.50KB
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  465. 12 Correlation/154 Cosine similarity.en.srt 7.78KB
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  471. 13 Analysis of Variance (ANOVA)/156 ANOVA intro, part1.en.srt 27.24KB
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  477. 13 Analysis of Variance (ANOVA)/158 Sum of squares.en.srt 26.56KB
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  480. 13 Analysis of Variance (ANOVA)/159 The F-test and the ANOVA table.en.srt 10.87KB
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  483. 13 Analysis of Variance (ANOVA)/160 The omnibus F-test and post-hoc comparisons.en.srt 19.62KB
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  486. 13 Analysis of Variance (ANOVA)/161 The two-way ANOVA.en.srt 30.60KB
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  489. 13 Analysis of Variance (ANOVA)/162 One-way ANOVA example.en.srt 21.47KB
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  492. 13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).en.srt 26.84KB
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  495. 13 Analysis of Variance (ANOVA)/164 Code_ One-way repeated-measures ANOVA.en.srt 19.13KB
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  498. 13 Analysis of Variance (ANOVA)/165 Two-way ANOVA example.en.srt 17.38KB
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  501. 13 Analysis of Variance (ANOVA)/166 Code_ Two-way mixed ANOVA.en.srt 22.35KB
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  504. 14 Regression/167 Introduction to GLM _ regression.en.srt 30.97KB
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  507. 14 Regression/168 Least-squares solution to the GLM.en.srt 14.92KB
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  510. 14 Regression/169 Evaluating regression models_ R2 and F.en.srt 24.80KB
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  513. 14 Regression/170 Simple regression.en.srt 20.52KB
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  519. 14 Regression/172 _Unsupervised learning__ Compute R2 and F.en.srt 1.50KB
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  522. 14 Regression/173 Multiple regression.en.srt 19.91KB
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  525. 14 Regression/174 Standardizing regression coefficients.en.srt 19.11KB
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  528. 14 Regression/175 Code_ Multiple regression.en.srt 29.08KB
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  531. 14 Regression/176 Polynomial regression models.en.srt 13.98KB
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  537. 14 Regression/178 _Unsupervised learning__ Polynomial design matrix.en.srt 1.15KB
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  540. 14 Regression/179 Logistic regression.en.srt 26.53KB
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  546. 14 Regression/181 Under- and over-fitting.en.srt 26.45KB
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  549. 14 Regression/182 _Unsupervised learning__ Overfit data.en.srt 2.79KB
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  552. 14 Regression/183 Comparing _nested_ models.en.srt 19.08KB
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  555. 14 Regression/184 What to do about missing data.en.srt 9.97KB
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  558. 15 Statistical power and sample sizes/185 What is statistical power and why is it important_.en.srt 14.88KB
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  561. 15 Statistical power and sample sizes/186 Estimating statistical power and sample size.en.srt 17.24KB
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  567. 16 Clustering and dimension-reduction/188 K-means clustering.en.srt 21.87KB
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  573. 16 Clustering and dimension-reduction/190 _Unsupervised learning__ K-means and normalization.en.srt 2.57KB
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  576. 16 Clustering and dimension-reduction/191 _Unsupervised learning__ K-means on a Gauss blur.en.srt 2.08KB
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  579. 16 Clustering and dimension-reduction/192 Clustering via dbscan.en.srt 22.56KB
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  585. 16 Clustering and dimension-reduction/194 _Unsupervised learning__ dbscan vs. k-means.en.srt 4.61KB
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  588. 16 Clustering and dimension-reduction/195 K-nearest neighbor classification.en.srt 9.35KB
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  594. 16 Clustering and dimension-reduction/197 Principal components analysis (PCA).en.srt 24.17KB
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