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文档大小：13.6 GB
文档个数：212个文档
下载次数：421次
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收录时间：2021-01-05
最近下载：2024-11-10
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文档列表

statsml_x/16 Clustering and dimension-reduction/193 Code dbscan.mp4 258.9 MB
statsml_x/06 Descriptive statistics/039 Code data from different distributions.mp4 215.9 MB
statsml_x/06 Descriptive statistics/047 Code Computing dispersion.mp4 202.1 MB
statsml_x/08 Probability theory/092 Code sampling variability.mp4 188.8 MB
statsml_x/12 Correlation/140 Code correlation matrix.mp4 188.5 MB
statsml_x/12 Correlation/137 Code correlation coefficient.mp4 187.8 MB
statsml_x/10 The t-test family/126 Code permutation testing.mp4 185.6 MB
statsml_x/16 Clustering and dimension-reduction/189 Code k-means clustering.mp4 174.6 MB
statsml_x/07 Data normalizations and outliers/070 Code z-score for outlier removal.mp4 170.0 MB
statsml_x/10 The t-test family/119 Code Two-samples t-test.mp4 153.8 MB
statsml_x/14 Regression/175 Code Multiple regression.mp4 153.2 MB
statsml_x/08 Probability theory/098 Code Law of Large Numbers in action.mp4 148.0 MB
statsml_x/10 The t-test family/122 Code Signed-rank test.mp4 144.9 MB
statsml_x/12 Correlation/155 Code Cosine similarity vs. Pearson correlation.mp4 144.2 MB
statsml_x/04 What are (is) data/016 Where do data come from and what do they mean.mp4 142.0 MB
statsml_x/10 The t-test family/116 Code One-sample t-test.mp4 140.6 MB
statsml_x/08 Probability theory/095 Code conditional probabilities.mp4 139.4 MB
statsml_x/06 Descriptive statistics/059 Code entropy.mp4 135.3 MB
statsml_x/11 Confidence intervals on parameters/130 Code compute confidence intervals by formula.mp4 133.1 MB
statsml_x/12 Correlation/144 Code partial correlation.mp4 132.4 MB
statsml_x/12 Correlation/152 Code Kendall correlation.mp4 131.4 MB
statsml_x/13 Analysis of Variance (ANOVA)/157 ANOVA intro part 2.mp4 130.4 MB
statsml_x/16 Clustering and dimension-reduction/198 Code PCA.mp4 124.0 MB
statsml_x/13 Analysis of Variance (ANOVA)/163 Code One-way ANOVA (independent samples).mp4 123.3 MB
statsml_x/05 Visualizing data/023 Code bar plots.mp4 123.2 MB
statsml_x/11 Confidence intervals on parameters/132 Code bootstrapping confidence intervals.mp4 121.4 MB
statsml_x/05 Visualizing data/028 Code histograms.mp4 119.9 MB
statsml_x/08 Probability theory/089 Creating sample estimate distributions.mp4 119.0 MB
statsml_x/06 Descriptive statistics/049 Code IQR.mp4 117.0 MB
statsml_x/08 Probability theory/100 Code the CLT in action.mp4 116.5 MB
statsml_x/14 Regression/177 Code polynomial modeling.mp4 114.0 MB
statsml_x/06 Descriptive statistics/051 Code QQ plots.mp4 113.0 MB
statsml_x/14 Regression/167 Introduction to GLM regression.mp4 111.1 MB
statsml_x/13 Analysis of Variance (ANOVA)/156 ANOVA intro part1.mp4 108.2 MB
statsml_x/08 Probability theory/081 Code compute probabilities.mp4 105.2 MB
statsml_x/09 Hypothesis testing/105 P-values definition tails and misinterpretations.mp4 105.2 MB
statsml_x/14 Regression/181 Under- and over-fitting.mp4 103.4 MB
statsml_x/13 Analysis of Variance (ANOVA)/161 The two-way ANOVA.mp4 103.1 MB
statsml_x/13 Analysis of Variance (ANOVA)/166 Code Two-way mixed ANOVA.mp4 102.0 MB
statsml_x/01 Introductions/001 [Important] Getting the most out of this course.mp4 100.5 MB
statsml_x/06 Descriptive statistics/046 Measures of dispersion (variance standard deviation).mp4 98.7 MB
statsml_x/16 Clustering and dimension-reduction/196 Code KNN.mp4 98.0 MB
statsml_x/05 Visualizing data/031 Code pie charts.mp4 97.7 MB
statsml_x/16 Clustering and dimension-reduction/188 K-means clustering.mp4 97.6 MB
statsml_x/12 Correlation/138 Code Simulate data with specified correlation.mp4 96.8 MB
statsml_x/08 Probability theory/084 Probability mass vs. density.mp4 96.7 MB
statsml_x/16 Clustering and dimension-reduction/192 Clustering via dbscan.mp4 96.5 MB
statsml_x/12 Correlation/135 Motivation and description of correlation.mp4 95.7 MB
statsml_x/17 Signal detection theory/204 Code d-prime.mp4 94.3 MB
statsml_x/07 Data normalizations and outliers/063 Code z-score.mp4 94.1 MB
statsml_x/06 Descriptive statistics/044 Code computing central tendency.mp4 93.3 MB
statsml_x/16 Clustering and dimension-reduction/201 Code ICA.mp4 92.8 MB
statsml_x/06 Descriptive statistics/054 Code Histogram bins.mp4 91.4 MB
statsml_x/09 Hypothesis testing/103 What is an hypothesis and how do you specify one.mp4 90.6 MB
statsml_x/09 Hypothesis testing/102 IVs DVs models and other stats lingo.mp4 90.6 MB
statsml_x/04 What are (is) data/017 Types of data categorical numerical etc.mp4 89.7 MB
statsml_x/13 Analysis of Variance (ANOVA)/164 Code One-way repeated-measures ANOVA.mp4 89.5 MB
statsml_x/08 Probability theory/094 Conditional probability.mp4 87.7 MB
statsml_x/08 Probability theory/085 Code compute probability mass functions.mp4 81.6 MB
statsml_x/14 Regression/179 Logistic regression.mp4 81.1 MB
statsml_x/10 The t-test family/118 Two-samples t-test.mp4 80.2 MB
statsml_x/06 Descriptive statistics/056 Code violin plots.mp4 80.2 MB
statsml_x/13 Analysis of Variance (ANOVA)/158 Sum of squares.mp4 80.1 MB
statsml_x/07 Data normalizations and outliers/075 Code Data trimming to remove outliers.mp4 80.0 MB
statsml_x/09 Hypothesis testing/113 Statistical significance vs. classification accuracy.mp4 79.6 MB
statsml_x/09 Hypothesis testing/108 Type 1 and Type 2 errors.mp4 79.2 MB
statsml_x/07 Data normalizations and outliers/067 What are outliers and why are they dangerous.mp4 76.0 MB
statsml_x/16 Clustering and dimension-reduction/200 Independent components analysis (ICA).mp4 74.4 MB
statsml_x/02 Math prerequisites/006 Should you memorize statistical formulas.mp4 74.1 MB
statsml_x/16 Clustering and dimension-reduction/197 Principal components analysis (PCA).mp4 73.5 MB
statsml_x/14 Regression/183 Comparing nested models.mp4 72.3 MB
statsml_x/08 Probability theory/091 Sampling variability noise and other annoyances.mp4 72.1 MB
statsml_x/08 Probability theory/078 What is probability.mp4 72.0 MB
statsml_x/14 Regression/180 Code Logistic regression.mp4 72.0 MB
statsml_x/07 Data normalizations and outliers/077 An outlier lecture on personal accountability.mp4 71.6 MB
statsml_x/09 Hypothesis testing/109 Parametric vs. non-parametric tests.mp4 70.9 MB
statsml_x/01 Introductions/003 Statistics guessing game.mp4 70.3 MB
statsml_x/17 Signal detection theory/208 Code ROC curves.mp4 70.0 MB
statsml_x/14 Regression/173 Multiple regression.mp4 68.5 MB
statsml_x/14 Regression/169 Evaluating regression models R2 and F.mp4 68.3 MB
statsml_x/06 Descriptive statistics/042 Measures of central tendency (mean).mp4 68.3 MB
statsml_x/08 Probability theory/086 Cumulative probability distributions.mp4 66.1 MB
statsml_x/04 What are (is) data/019 Sample vs. population data.mp4 66.0 MB
statsml_x/14 Regression/170 Simple regression.mp4 65.0 MB
statsml_x/14 Regression/174 Standardizing regression coefficients.mp4 64.6 MB
statsml_x/08 Probability theory/080 Computing probabilities.mp4 64.2 MB
statsml_x/13 Analysis of Variance (ANOVA)/160 The omnibus F-test and post-hoc comparisons.mp4 64.0 MB
statsml_x/12 Correlation/136 Covariance and correlation formulas.mp4 63.9 MB
statsml_x/14 Regression/171 Code simple regression.mp4 63.6 MB
statsml_x/13 Analysis of Variance (ANOVA)/165 Two-way ANOVA example.mp4 62.9 MB
statsml_x/08 Probability theory/097 The Law of Large Numbers.mp4 61.9 MB
statsml_x/07 Data normalizations and outliers/073 Code Euclidean distance for outlier removal.mp4 61.7 MB
statsml_x/07 Data normalizations and outliers/068 Removing outliers z-score method.mp4 61.7 MB
statsml_x/05 Visualizing data/022 Bar plots.mp4 60.7 MB
statsml_x/08 Probability theory/087 Code cdfs and pdfs.mp4 60.6 MB
statsml_x/17 Signal detection theory/203 d-prime.mp4 60.2 MB
statsml_x/15 Statistical power and sample sizes/185 What is statistical power and why is it important.mp4 59.6 MB
statsml_x/05 Visualizing data/025 Code box plots.mp4 59.3 MB
statsml_x/06 Descriptive statistics/043 Measures of central tendency (median mode).mp4 59.2 MB
statsml_x/13 Analysis of Variance (ANOVA)/162 One-way ANOVA example.mp4 58.8 MB
statsml_x/05 Visualizing data/027 Histograms.mp4 58.3 MB
statsml_x/09 Hypothesis testing/104 Sample distributions under null and alternative hypotheses.mp4 57.7 MB
statsml_x/04 What are (is) data/018 Code representing types of data on computers.mp4 57.7 MB
statsml_x/09 Hypothesis testing/107 Degrees of freedom.mp4 57.6 MB
statsml_x/06 Descriptive statistics/058 Shannon entropy.mp4 57.4 MB
statsml_x/07 Data normalizations and outliers/065 Code min-max scaling.mp4 57.4 MB
statsml_x/10 The t-test family/114 Purpose and interpretation of the t-test.mp4 56.7 MB
statsml_x/06 Descriptive statistics/038 Data distributions.mp4 56.6 MB
statsml_x/07 Data normalizations and outliers/062 Z-score standardization.mp4 56.2 MB
statsml_x/15 Statistical power and sample sizes/186 Estimating statistical power and sample size.mp4 56.1 MB
statsml_x/10 The t-test family/125 Permutation testing for t-test significance.mp4 55.2 MB
statsml_x/12 Correlation/151 Kendalls correlation for ordinal data.mp4 53.4 MB
statsml_x/05 Visualizing data/034 Code line plots.mp4 53.2 MB
statsml_x/12 Correlation/148 Code Spearman correlation and Fisher-Z.mp4 52.9 MB
statsml_x/08 Probability theory/079 Probability vs. proportion.mp4 52.8 MB
statsml_x/09 Hypothesis testing/110 Multiple comparisons and Bonferroni correction.mp4 52.8 MB
statsml_x/11 Confidence intervals on parameters/131 Confidence intervals via bootstrapping (resampling).mp4 52.5 MB
statsml_x/08 Probability theory/093 Expected value.mp4 52.0 MB
statsml_x/11 Confidence intervals on parameters/128 What are confidence intervals and why do we need them.mp4 51.3 MB
statsml_x/09 Hypothesis testing/112 Cross-validation.mp4 50.4 MB
statsml_x/17 Signal detection theory/207 Receiver operating characteristics (ROC).mp4 48.7 MB
statsml_x/12 Correlation/143 Partial correlation.mp4 48.3 MB
statsml_x/08 Probability theory/099 The Central Limit Theorem.mp4 47.9 MB
statsml_x/10 The t-test family/121 Wilcoxon signed-rank (nonparametric t-test).mp4 46.8 MB
statsml_x/06 Descriptive statistics/037 Accuracy precision resolution.mp4 46.6 MB
statsml_x/10 The t-test family/115 One-sample t-test.mp4 46.4 MB
statsml_x/12 Correlation/139 Correlation matrix.mp4 46.3 MB
statsml_x/07 Data normalizations and outliers/072 Multivariate outlier detection.mp4 45.4 MB
statsml_x/05 Visualizing data/033 Linear vs. logarithmic axis scaling.mp4 45.2 MB
statsml_x/04 What are (is) data/015 Is data singular or plural.mp4 43.1 MB
statsml_x/12 Correlation/146 Nonparametric correlation Spearman rank.mp4 43.0 MB
statsml_x/14 Regression/168 Least-squares solution to the GLM.mp4 43.0 MB
statsml_x/06 Descriptive statistics/053 Histograms part 2 Number of bins.mp4 41.3 MB
statsml_x/10 The t-test family/127 Unsupervised learning How many permutations.mp4 40.1 MB
statsml_x/14 Regression/176 Polynomial regression models.mp4 39.5 MB
statsml_x/17 Signal detection theory/205 Response bias.mp4 39.3 MB
statsml_x/06 Descriptive statistics/052 Statistical moments.mp4 38.9 MB
statsml_x/01 Introductions/004 Using the QA forum.mp4 37.0 MB
statsml_x/10 The t-test family/124 Code Mann-Whitney U test.mp4 36.8 MB
statsml_x/10 The t-test family/123 Mann-Whitney U test (nonparametric t-test).mp4 36.6 MB
statsml_x/13 Analysis of Variance (ANOVA)/159 The F-test and the ANOVA table.mp4 35.3 MB
statsml_x/04 What are (is) data/021 The ethics of making up data.mp4 34.7 MB
statsml_x/01 Introductions/002 About using MATLAB or Python.mp4 34.7 MB
statsml_x/09 Hypothesis testing/111 Statistical vs. theoretical vs. clinical significance.mp4 33.9 MB
statsml_x/17 Signal detection theory/206 Code Response bias.mp4 33.5 MB
statsml_x/06 Descriptive statistics/036 Descriptive vs. inferential statistics.mp4 32.8 MB
statsml_x/02 Math prerequisites/012 The logistic function.mp4 32.7 MB
statsml_x/11 Confidence intervals on parameters/134 Misconceptions about confidence intervals.mp4 32.1 MB
statsml_x/07 Data normalizations and outliers/076 Non-parametric solutions to outliers.mp4 32.0 MB
statsml_x/04 What are (is) data/020 Samples case reports and anecdotes.mp4 32.0 MB
statsml_x/11 Confidence intervals on parameters/129 Computing confidence intervals via formula.mp4 30.9 MB
statsml_x/05 Visualizing data/032 When to use lines instead of bars.mp4 30.7 MB
statsml_x/07 Data normalizations and outliers/074 Removing outliers by data trimming.mp4 30.1 MB
statsml_x/09 Hypothesis testing/106 P-z combinations that you should memorize.mp4 30.0 MB
statsml_x/12 Correlation/145 The problem with Pearson.mp4 29.4 MB
statsml_x/06 Descriptive statistics/050 QQ plots.mp4 29.1 MB
statsml_x/12 Correlation/147 Fisher-Z transformation for correlations.mp4 29.0 MB
statsml_x/15 Statistical power and sample sizes/187 Compute power and sample size using GPower.mp4 28.9 MB
statsml_x/05 Visualizing data/030 Pie charts.mp4 28.8 MB
statsml_x/14 Regression/184 What to do about missing data.mp4 28.2 MB
statsml_x/03 IMPORTANT Download course materials/014 Download materials for the entire course.mp4 27.4 MB
statsml_x/12 Correlation/154 Cosine similarity.mp4 27.0 MB
statsml_x/10 The t-test family/120 Unsupervised learning Importance of N for t-test.mp4 26.0 MB
statsml_x/17 Signal detection theory/202 The two perspectives of the world.mp4 25.3 MB
statsml_x/10 The t-test family/117 Unsupervised learning The role of variance.mp4 25.3 MB
statsml_x/08 Probability theory/096 Tree diagrams for conditional probabilities.mp4 24.7 MB
statsml_x/16 Clustering and dimension-reduction/194 Unsupervised learning dbscan vs. k-means.mp4 24.4 MB
statsml_x/02 Math prerequisites/013 Rank and tied-rank.mp4 23.5 MB
statsml_x/16 Clustering and dimension-reduction/195 K-nearest neighbor classification.mp4 22.7 MB
statsml_x/06 Descriptive statistics/045 Unsupervised learning central tendencies with outliers.mp4 22.6 MB
statsml_x/12 Correlation/141 Unsupervised learning average correlation matrices.mp4 22.4 MB
statsml_x/06 Descriptive statistics/057 Unsupervised learning asymmetric violin plots.mp4 22.1 MB
statsml_x/02 Math prerequisites/011 Natural exponent and logarithm.mp4 22.1 MB
statsml_x/07 Data normalizations and outliers/064 Min-max scaling.mp4 21.6 MB
statsml_x/08 Probability theory/082 Probability and odds.mp4 21.5 MB
statsml_x/02 Math prerequisites/008 Scientific notation.mp4 21.2 MB
statsml_x/07 Data normalizations and outliers/061 Garbage in garbage out (GIGO).mp4 20.1 MB
statsml_x/05 Visualizing data/024 Box-and-whisker plots.mp4 19.7 MB
statsml_x/12 Correlation/142 Unsupervised learning correlation to covariance matrix.mp4 18.3 MB
statsml_x/06 Descriptive statistics/041 The beauty and simplicity of Normal.mp4 18.1 MB
statsml_x/07 Data normalizations and outliers/069 The modified z-score method.mp4 17.7 MB
statsml_x/06 Descriptive statistics/048 Interquartile range (IQR).mp4 17.6 MB
statsml_x/12 Correlation/153 Unsupervised learning Does Kendall vs. Pearson matter.mp4 17.5 MB
statsml_x/05 Visualizing data/029 Unsupervised learning Histogram proportion.mp4 16.7 MB
statsml_x/08 Probability theory/090 Monte Carlo sampling.mp4 16.2 MB
statsml_x/16 Clustering and dimension-reduction/190 Unsupervised learning K-means and normalization.mp4 16.2 MB
statsml_x/02 Math prerequisites/009 Summation notation.mp4 15.1 MB
statsml_x/08 Probability theory/088 Unsupervised learning cdfs for various distributions.mp4 15.0 MB
statsml_x/06 Descriptive statistics/040 Unsupervised learning histograms of distributions.mp4 14.6 MB
statsml_x/07 Data normalizations and outliers/071 Unsupervised learning z vs. modified-z.mp4 14.5 MB
statsml_x/16 Clustering and dimension-reduction/199 Unsupervised learning K-means on PC data.mp4 14.3 MB
statsml_x/02 Math prerequisites/007 Arithmetic and exponents.mp4 14.2 MB
statsml_x/17 Signal detection theory/209 Unsupervised learning Make this plot look nicer.mp4 14.1 MB
statsml_x/12 Correlation/150 Unsupervised learning confidence interval on correlation.mp4 13.5 MB
statsml_x/05 Visualizing data/026 Unsupervised learning Boxplots of normal and uniform noise.mp4 13.3 MB
statsml_x/08 Probability theory/101 Unsupervised learning Averaging pairs of numbers.mp4 13.0 MB
statsml_x/02 Math prerequisites/010 Absolute value.mp4 12.7 MB
statsml_x/07 Data normalizations and outliers/066 Unsupervised learning Invert the min-max scaling.mp4 12.6 MB
statsml_x/06 Descriptive statistics/055 Violin plots.mp4 12.4 MB
statsml_x/01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.mp4 12.3 MB
statsml_x/16 Clustering and dimension-reduction/191 Unsupervised learning K-means on a Gauss blur.mp4 11.4 MB
statsml_x/12 Correlation/149 Unsupervised learning Spearman correlation.mp4 11.0 MB
statsml_x/06 Descriptive statistics/060 Unsupervised learning entropy and number of bins.mp4 10.6 MB
statsml_x/08 Probability theory/083 Unsupervised learning probabilities of odds-space.mp4 10.5 MB
statsml_x/11 Confidence intervals on parameters/133 Unsupervised learning Confidence intervals for variance.mp4 10.5 MB
statsml_x/14 Regression/182 Unsupervised learning Overfit data.mp4 9.1 MB
statsml_x/05 Visualizing data/035 Unsupervised learning log-scaled plots.mp4 7.4 MB
statsml_x/14 Regression/178 Unsupervised learning Polynomial design matrix.mp4 6.9 MB
statsml_x/14 Regression/172 Unsupervised learning Compute R2 and F.mp4 6.9 MB
statsml_x/03 IMPORTANT Download course materials/014 statsML.zip 1.5 MB
statsml_x/18 Bonus section/210 Bonus content.html 4.3 kB
statsml_x/01 Introductions/003 stats-intro-GuessTheTest.zip 3.8 kB

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