[Udemy] Master statistics and machine learning intuition math code (2021) [En]

Creation Time	Sept. 9, 2023, 1:48 a.m.
Last Access Time	Dec. 4, 2024, 6:42 a.m.
File Size	11.7 GB
Keywords	and intuition statistics Udemy machine code Master 2021 learning En math
Total Requests	112
Total Files	422
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

06 Descriptive statistics/039 Code_ data from different distributions.mp4 303.5 MB
16 Clustering and dimension-reduction/193 Code_ dbscan.mp4 288.7 MB
12 Correlation/140 Code_ correlation matrix.mp4 282.8 MB
06 Descriptive statistics/047 Code_ Computing dispersion.mp4 266.5 MB
10 The t-test family/126 Code_ permutation testing.mp4 241.3 MB
16 Clustering and dimension-reduction/189 Code_ k-means clustering.mp4 230.7 MB
12 Correlation/137 Code_ correlation coefficient.mp4 214.6 MB
10 The t-test family/119 Code_ Two-samples t-test.mp4 211.6 MB
12 Correlation/152 Code_ Kendall correlation.mp4 184.5 MB
13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).mp4 172.9 MB
14 Regression/175 Code_ Multiple regression.mp4 171.3 MB
08 Probability theory/098 Code_ Law of Large Numbers in action.mp4 165.9 MB
10 The t-test family/122 Code_ Signed-rank test.mp4 162.1 MB
10 The t-test family/116 Code_ One-sample t-test.mp4 158.2 MB
08 Probability theory/092 Code_ sampling variability.mp4 155.1 MB
11 Confidence intervals on parameters/130 Code_ compute confidence intervals by formula.mp4 149.6 MB
13 Analysis of Variance (ANOVA)/156 ANOVA intro, part1.mp4 137.9 MB
07 Data normalizations and outliers/070 Code_ z-score for outlier removal.mp4 137.2 MB
08 Probability theory/081 Code_ compute probabilities.mp4 137.1 MB
11 Confidence intervals on parameters/132 Code_ bootstrapping confidence intervals.mp4 136.8 MB
12 Correlation/138 Code_ Simulate data with specified correlation.mp4 136.2 MB
08 Probability theory/084 Probability mass vs. density.mp4 134.4 MB
05 Visualizing data/028 Code_ histograms.mp4 133.7 MB
09 Hypothesis testing/105 P-values_ definition, tails, and misinterpretations.mp4 131.9 MB
14 Regression/177 Code_ polynomial modeling.mp4 129.3 MB
08 Probability theory/089 Creating sample estimate distributions.mp4 125.2 MB
14 Regression/181 Under- and over-fitting.mp4 121.1 MB
06 Descriptive statistics/054 Code_ Histogram bins.mp4 118.3 MB
08 Probability theory/095 Code_ conditional probabilities.mp4 115.4 MB
13 Analysis of Variance (ANOVA)/166 Code_ Two-way mixed ANOVA.mp4 114.4 MB
06 Descriptive statistics/059 Code_ entropy.mp4 110.3 MB
16 Clustering and dimension-reduction/196 Code_ KNN.mp4 108.6 MB
12 Correlation/144 Code_ partial correlation.mp4 108.3 MB
08 Probability theory/091 Sampling variability, noise, and other annoyances.mp4 106.2 MB
06 Descriptive statistics/056 Code_ violin plots.mp4 105.1 MB
13 Analysis of Variance (ANOVA)/161 The two-way ANOVA.mp4 104.8 MB
12 Correlation/155 Code_ Cosine similarity vs. Pearson correlation.mp4 102.5 MB
16 Clustering and dimension-reduction/192 Clustering via dbscan.mp4 100.7 MB
05 Visualizing data/023 Code_ bar plots.mp4 100.2 MB
12 Correlation/135 Motivation and description of correlation.mp4 96.7 MB
10 The t-test family/118 Two-samples t-test.mp4 93.8 MB
08 Probability theory/100 Code_ the CLT in action.mp4 93.6 MB
09 Hypothesis testing/102 IVs, DVs, models, and other stats lingo.mp4 91.5 MB
06 Descriptive statistics/051 Code_ QQ plots.mp4 90.5 MB
09 Hypothesis testing/109 Parametric vs. non-parametric tests.mp4 87.7 MB
08 Probability theory/094 Conditional probability.mp4 86.0 MB
13 Analysis of Variance (ANOVA)/157 ANOVA intro, part 2.mp4 84.6 MB
05 Visualizing data/025 Code_ box plots.mp4 83.7 MB
06 Descriptive statistics/049 Code_ IQR.mp4 83.6 MB
14 Regression/180 Code_ Logistic regression.mp4 81.4 MB
01 Introductions/003 Statistics guessing game!.mp4 80.3 MB
06 Descriptive statistics/044 Code_ computing central tendency.mp4 76.3 MB
16 Clustering and dimension-reduction/201 Code_ ICA.mp4 73.5 MB
13 Analysis of Variance (ANOVA)/164 Code_ One-way repeated-measures ANOVA.mp4 73.3 MB
16 Clustering and dimension-reduction/198 Code_ PCA.mp4 73.1 MB
17 Signal detection theory/204 Code_ d-prime.mp4 69.8 MB
05 Visualizing data/031 Code_ pie charts.mp4 69.2 MB
14 Regression/173 Multiple regression.mp4 69.1 MB
07 Data normalizations and outliers/063 Code_ z-score.mp4 67.0 MB
08 Probability theory/085 Code_ compute probability mass functions.mp4 66.3 MB
07 Data normalizations and outliers/075 Code_ Data trimming to remove outliers.mp4 65.4 MB
17 Signal detection theory/207 Receiver operating characteristics (ROC).mp4 64.5 MB
10 The t-test family/125 Permutation testing for t-test significance.mp4 63.7 MB
13 Analysis of Variance (ANOVA)/160 The omnibus F-test and post-hoc comparisons.mp4 63.6 MB
14 Regression/167 Introduction to GLM _ regression.mp4 62.3 MB
08 Probability theory/093 Expected value.mp4 59.8 MB
04 What are (is_) data_/017 Types of data_ categorical, numerical, etc.mp4 59.6 MB
12 Correlation/143 Partial correlation.mp4 59.5 MB
10 The t-test family/127 _Unsupervised learning__ How many permutations_.mp4 55.4 MB
17 Signal detection theory/208 Code_ ROC curves.mp4 54.8 MB
16 Clustering and dimension-reduction/188 K-means clustering.mp4 54.5 MB
06 Descriptive statistics/046 Measures of dispersion (variance, standard deviation).mp4 54.4 MB
11 Confidence intervals on parameters/131 Confidence intervals via bootstrapping (resampling).mp4 54.4 MB
10 The t-test family/115 One-sample t-test.mp4 54.1 MB
14 Regression/179 Logistic regression.mp4 53.0 MB
14 Regression/171 Code_ simple regression.mp4 52.4 MB
10 The t-test family/124 Code_ Mann-Whitney U test.mp4 52.1 MB
09 Hypothesis testing/103 What is an hypothesis and how do you specify one_.mp4 49.4 MB
14 Regression/176 Polynomial regression models.mp4 49.2 MB
04 What are (is_) data_/018 Code_ representing types of data on computers.mp4 47.9 MB
14 Regression/174 Standardizing regression coefficients.mp4 47.5 MB
09 Hypothesis testing/108 Type 1 and Type 2 errors.mp4 46.1 MB
13 Analysis of Variance (ANOVA)/158 Sum of squares.mp4 46.0 MB
16 Clustering and dimension-reduction/200 Independent components analysis (ICA).mp4 45.7 MB
13 Analysis of Variance (ANOVA)/162 One-way ANOVA example.mp4 44.5 MB
09 Hypothesis testing/104 Sample distributions under null and alternative hypotheses.mp4 43.9 MB
05 Visualizing data/027 Histograms.mp4 43.9 MB
07 Data normalizations and outliers/073 Code_ Euclidean distance for outlier removal.mp4 43.8 MB
07 Data normalizations and outliers/067 What are outliers and why are they dangerous_.mp4 43.2 MB
16 Clustering and dimension-reduction/197 Principal components analysis (PCA).mp4 42.8 MB
12 Correlation/148 Code_ Spearman correlation and Fisher-Z.mp4 42.8 MB
09 Hypothesis testing/113 Statistical significance vs. classification accuracy.mp4 42.7 MB
08 Probability theory/087 Code_ cdfs and pdfs.mp4 42.3 MB
12 Correlation/136 Covariance and correlation_ formulas.mp4 42.1 MB
14 Regression/168 Least-squares solution to the GLM.mp4 41.6 MB
08 Probability theory/078 What is probability_.mp4 41.3 MB
08 Probability theory/097 The Law of Large Numbers.mp4 40.7 MB
07 Data normalizations and outliers/065 Code_ min-max scaling.mp4 40.5 MB
15 Statistical power and sample sizes/185 What is statistical power and why is it important_.mp4 39.7 MB
17 Signal detection theory/203 d-prime.mp4 39.6 MB
14 Regression/183 Comparing _nested_ models.mp4 39.3 MB
06 Descriptive statistics/042 Measures of central tendency (mean).mp4 38.9 MB
01 Introductions/002 About using MATLAB or Python.mp4 38.9 MB
14 Regression/169 Evaluating regression models_ R2 and F.mp4 38.3 MB
01 Introductions/001 [Important] Getting the most out of this course.mp4 38.0 MB
08 Probability theory/080 Computing probabilities.mp4 37.7 MB
08 Probability theory/079 Probability vs. proportion.mp4 37.7 MB
05 Visualizing data/034 Code_ line plots.mp4 37.4 MB
04 What are (is_) data_/019 Sample vs. population data.mp4 37.3 MB
05 Visualizing data/022 Bar plots.mp4 37.0 MB
14 Regression/170 Simple regression.mp4 37.0 MB
08 Probability theory/086 Cumulative probability distributions.mp4 36.7 MB
07 Data normalizations and outliers/062 Z-score standardization.mp4 36.4 MB
13 Analysis of Variance (ANOVA)/165 Two-way ANOVA example.mp4 35.8 MB
04 What are (is_) data_/016 Where do data come from and what do they mean_.mp4 35.6 MB
06 Descriptive statistics/043 Measures of central tendency (median, mode).mp4 34.5 MB
07 Data normalizations and outliers/068 Removing outliers_ z-score method.mp4 33.7 MB
06 Descriptive statistics/058 Shannon entropy.mp4 33.2 MB
09 Hypothesis testing/107 Degrees of freedom.mp4 33.1 MB
10 The t-test family/114 Purpose and interpretation of the t-test.mp4 32.2 MB
06 Descriptive statistics/038 Data distributions.mp4 32.1 MB
15 Statistical power and sample sizes/187 Compute power and sample size using G_Power.mp4 31.2 MB
12 Correlation/139 Correlation matrix.mp4 31.1 MB
15 Statistical power and sample sizes/186 Estimating statistical power and sample size.mp4 31.1 MB
10 The t-test family/121 Wilcoxon signed-rank (nonparametric t-test).mp4 30.4 MB
12 Correlation/151 Kendall's correlation for ordinal data.mp4 30.3 MB
11 Confidence intervals on parameters/128 What are confidence intervals and why do we need them_.mp4 30.0 MB
09 Hypothesis testing/110 Multiple comparisons and Bonferroni correction.mp4 29.7 MB
10 The t-test family/117 _Unsupervised learning__ The role of variance.mp4 28.7 MB
12 Correlation/147 Fisher-Z transformation for correlations.mp4 28.6 MB
09 Hypothesis testing/112 Cross-validation.mp4 28.4 MB
02 Math prerequisites/006 Should you memorize statistical formulas_.mp4 28.0 MB
08 Probability theory/099 The Central Limit Theorem.mp4 26.8 MB
05 Visualizing data/033 Linear vs. logarithmic axis scaling.mp4 25.7 MB
06 Descriptive statistics/037 Accuracy, precision, resolution.mp4 25.5 MB
07 Data normalizations and outliers/072 Multivariate outlier detection.mp4 25.2 MB
01 Introductions/004 Using the Q&A forum.mp4 24.5 MB
12 Correlation/146 Nonparametric correlation_ Spearman rank.mp4 23.8 MB
06 Descriptive statistics/053 Histograms part 2_ Number of bins.mp4 23.5 MB
07 Data normalizations and outliers/076 Non-parametric solutions to outliers.mp4 23.1 MB
17 Signal detection theory/206 Code_ Response bias.mp4 22.9 MB
17 Signal detection theory/205 Response bias.mp4 22.0 MB
06 Descriptive statistics/052 Statistical _moments_.mp4 21.8 MB
06 Descriptive statistics/036 Descriptive vs. inferential statistics.mp4 21.6 MB
10 The t-test family/123 Mann-Whitney U test (nonparametric t-test).mp4 20.4 MB
10 The t-test family/120 _Unsupervised learning__ Importance of N for t-test.mp4 20.1 MB
13 Analysis of Variance (ANOVA)/159 The F-test and the ANOVA table.mp4 20.0 MB
16 Clustering and dimension-reduction/194 _Unsupervised learning__ dbscan vs. k-means.mp4 20.0 MB
04 What are (is_) data_/021 The ethics of making up data.mp4 19.8 MB
09 Hypothesis testing/111 Statistical vs. theoretical vs. clinical significance.mp4 19.2 MB
11 Confidence intervals on parameters/134 Misconceptions about confidence intervals.mp4 18.7 MB
12 Correlation/141 _Unsupervised learning__ average correlation matrices.mp4 18.5 MB
05 Visualizing data/032 When to use lines instead of bars.mp4 18.1 MB
02 Math prerequisites/012 The logistic function.mp4 18.0 MB
04 What are (is_) data_/020 Samples, case reports, and anecdotes.mp4 17.9 MB
07 Data normalizations and outliers/077 An outlier lecture on personal accountability.mp4 17.8 MB
11 Confidence intervals on parameters/129 Computing confidence intervals via formula.mp4 17.4 MB
06 Descriptive statistics/057 _Unsupervised learning__ asymmetric violin plots.mp4 17.4 MB
09 Hypothesis testing/106 P-z combinations that you should memorize.mp4 17.3 MB
07 Data normalizations and outliers/074 Removing outliers by data trimming.mp4 17.0 MB
06 Descriptive statistics/045 _Unsupervised learning__ central tendencies with outliers.mp4 16.8 MB
12 Correlation/145 The problem with Pearson.mp4 16.7 MB
05 Visualizing data/030 Pie charts.mp4 16.6 MB
08 Probability theory/090 Monte Carlo sampling.mp4 16.4 MB
06 Descriptive statistics/050 QQ plots.mp4 16.3 MB
14 Regression/184 What to do about missing data.mp4 16.2 MB
12 Correlation/149 _Unsupervised learning__ Spearman correlation.mp4 16.0 MB
12 Correlation/153 _Unsupervised learning__ Does Kendall vs. Pearson matter_.mp4 14.9 MB
03 IMPORTANT_ Download course materials/014 Download materials for the entire course!.mp4 14.5 MB
12 Correlation/154 Cosine similarity.mp4 14.3 MB
17 Signal detection theory/202 The two perspectives of the world.mp4 14.0 MB
08 Probability theory/096 Tree diagrams for conditional probabilities.mp4 13.6 MB
02 Math prerequisites/008 Scientific notation.mp4 13.0 MB
02 Math prerequisites/013 Rank and tied-rank.mp4 12.9 MB
16 Clustering and dimension-reduction/195 K-nearest neighbor classification.mp4 12.6 MB
02 Math prerequisites/011 Natural exponent and logarithm.mp4 12.3 MB
08 Probability theory/082 Probability and odds.mp4 12.0 MB
05 Visualizing data/029 _Unsupervised learning__ Histogram proportion.mp4 11.8 MB
07 Data normalizations and outliers/064 Min-max scaling.mp4 11.7 MB
07 Data normalizations and outliers/061 Garbage in, garbage out (GIGO).mp4 11.6 MB
16 Clustering and dimension-reduction/199 _Unsupervised learning__ K-means on PC data.mp4 11.6 MB
17 Signal detection theory/209 _Unsupervised learning__ Make this plot look nicer!.mp4 11.5 MB
16 Clustering and dimension-reduction/190 _Unsupervised learning__ K-means and normalization.mp4 11.2 MB
05 Visualizing data/024 Box-and-whisker plots.mp4 11.2 MB
04 What are (is_) data_/015 Is _data_ singular or plural_!_!!_!.mp4 10.9 MB
06 Descriptive statistics/041 The beauty and simplicity of Normal.mp4 10.3 MB
06 Descriptive statistics/040 _Unsupervised learning__ histograms of distributions.mp4 10.2 MB
12 Correlation/142 _Unsupervised learning__ correlation to covariance matrix.mp4 10.2 MB
06 Descriptive statistics/048 Interquartile range (IQR).mp4 9.9 MB
07 Data normalizations and outliers/069 The modified z-score method.mp4 9.7 MB
08 Probability theory/101 _Unsupervised learning__ Averaging pairs of numbers.mp4 9.5 MB
08 Probability theory/088 _Unsupervised learning__ cdf's for various distributions.mp4 9.3 MB
07 Data normalizations and outliers/071 _Unsupervised learning__ z vs. modified-z.mp4 9.1 MB
12 Correlation/150 _Unsupervised learning__ confidence interval on correlation.mp4 8.9 MB
11 Confidence intervals on parameters/133 _Unsupervised learning__ Confidence intervals for variance.mp4 8.6 MB
01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.mp4 8.5 MB
06 Descriptive statistics/060 _Unsupervised learning__ entropy and number of bins.mp4 8.3 MB
05 Visualizing data/026 _Unsupervised learning__ Boxplots of normal and uniform noise.mp4 8.3 MB
16 Clustering and dimension-reduction/191 _Unsupervised learning__ K-means on a Gauss blur.mp4 7.9 MB
02 Math prerequisites/009 Summation notation.mp4 7.8 MB
02 Math prerequisites/007 Arithmetic and exponents.mp4 7.6 MB
02 Math prerequisites/010 Absolute value.mp4 7.0 MB
07 Data normalizations and outliers/066 _Unsupervised learning__ Invert the min-max scaling.mp4 6.8 MB
06 Descriptive statistics/055 Violin plots.mp4 6.5 MB
08 Probability theory/083 _Unsupervised learning__ probabilities of odds-space.mp4 6.0 MB
14 Regression/178 _Unsupervised learning__ Polynomial design matrix.mp4 5.5 MB
14 Regression/182 _Unsupervised learning__ Overfit data.mp4 4.9 MB
14 Regression/172 _Unsupervised learning__ Compute R2 and F.mp4 4.7 MB
05 Visualizing data/035 _Unsupervised learning__ log-scaled plots.mp4 3.8 MB
03 IMPORTANT_ Download course materials/014 statsML.zip 1.4 MB
16 Clustering and dimension-reduction/193 Code_ dbscan.en.srt 51.5 KB
06 Descriptive statistics/039 Code_ data from different distributions.en.srt 47.8 KB
12 Correlation/137 Code_ correlation coefficient.en.srt 42.1 KB
08 Probability theory/092 Code_ sampling variability.en.srt 39.8 KB
06 Descriptive statistics/047 Code_ Computing dispersion.en.srt 38.7 KB
10 The t-test family/126 Code_ permutation testing.en.srt 38.6 KB
16 Clustering and dimension-reduction/189 Code_ k-means clustering.en.srt 35.8 KB
07 Data normalizations and outliers/070 Code_ z-score for outlier removal.en.srt 35.1 KB
10 The t-test family/119 Code_ Two-samples t-test.en.srt 33.5 KB
12 Correlation/140 Code_ correlation matrix.en.srt 33.2 KB
10 The t-test family/116 Code_ One-sample t-test.en.srt 32.6 KB
12 Correlation/155 Code_ Cosine similarity vs. Pearson correlation.en.srt 32.5 KB
06 Descriptive statistics/059 Code_ entropy.en.srt 31.6 KB
14 Regression/167 Introduction to GLM _ regression.en.srt 31.0 KB
08 Probability theory/095 Code_ conditional probabilities.en.srt 30.8 KB
12 Correlation/144 Code_ partial correlation.en.srt 30.6 KB
13 Analysis of Variance (ANOVA)/161 The two-way ANOVA.en.srt 30.6 KB
13 Analysis of Variance (ANOVA)/157 ANOVA intro, part 2.en.srt 29.6 KB
14 Regression/175 Code_ Multiple regression.en.srt 29.1 KB
08 Probability theory/098 Code_ Law of Large Numbers in action.en.srt 29.0 KB
08 Probability theory/089 Creating sample estimate distributions.en.srt 28.9 KB
12 Correlation/135 Motivation and description of correlation.en.srt 28.5 KB
10 The t-test family/122 Code_ Signed-rank test.en.srt 28.0 KB
09 Hypothesis testing/105 P-values_ definition, tails, and misinterpretations.en.srt 27.9 KB
12 Correlation/152 Code_ Kendall correlation.en.srt 27.9 KB
16 Clustering and dimension-reduction/198 Code_ PCA.en.srt 27.7 KB
06 Descriptive statistics/046 Measures of dispersion (variance, standard deviation).en.srt 27.3 KB
13 Analysis of Variance (ANOVA)/156 ANOVA intro, part1.en.srt 27.2 KB
13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).en.srt 26.8 KB
11 Confidence intervals on parameters/130 Code_ compute confidence intervals by formula.en.srt 26.7 KB
13 Analysis of Variance (ANOVA)/158 Sum of squares.en.srt 26.6 KB
14 Regression/179 Logistic regression.en.srt 26.5 KB
05 Visualizing data/023 Code_ bar plots.en.srt 26.5 KB
14 Regression/181 Under- and over-fitting.en.srt 26.4 KB
09 Hypothesis testing/102 IVs, DVs, models, and other stats lingo.en.srt 25.3 KB
05 Visualizing data/028 Code_ histograms.en.srt 25.3 KB
14 Regression/169 Evaluating regression models_ R2 and F.en.srt 24.8 KB
08 Probability theory/100 Code_ the CLT in action.en.srt 24.5 KB
06 Descriptive statistics/051 Code_ QQ plots.en.srt 24.5 KB
06 Descriptive statistics/049 Code_ IQR.en.srt 24.4 KB
09 Hypothesis testing/103 What is an hypothesis and how do you specify one_.en.srt 24.3 KB
16 Clustering and dimension-reduction/197 Principal components analysis (PCA).en.srt 24.2 KB
14 Regression/177 Code_ polynomial modeling.en.srt 23.4 KB
09 Hypothesis testing/108 Type 1 and Type 2 errors.en.srt 23.1 KB
08 Probability theory/081 Code_ compute probabilities.en.srt 23.0 KB
17 Signal detection theory/204 Code_ d-prime.en.srt 22.8 KB
11 Confidence intervals on parameters/132 Code_ bootstrapping confidence intervals.en.srt 22.6 KB
16 Clustering and dimension-reduction/192 Clustering via dbscan.en.srt 22.6 KB
07 Data normalizations and outliers/067 What are outliers and why are they dangerous_.en.srt 22.4 KB
13 Analysis of Variance (ANOVA)/166 Code_ Two-way mixed ANOVA.en.srt 22.4 KB
16 Clustering and dimension-reduction/188 K-means clustering.en.srt 21.9 KB
04 What are (is_) data_/017 Types of data_ categorical, numerical, etc.en.srt 21.8 KB
12 Correlation/136 Covariance and correlation_ formulas.en.srt 21.7 KB
13 Analysis of Variance (ANOVA)/162 One-way ANOVA example.en.srt 21.5 KB
06 Descriptive statistics/044 Code_ computing central tendency.en.srt 21.0 KB
12 Correlation/138 Code_ Simulate data with specified correlation.en.srt 20.8 KB
14 Regression/170 Simple regression.en.srt 20.5 KB
05 Visualizing data/031 Code_ pie charts.en.srt 20.2 KB
07 Data normalizations and outliers/063 Code_ z-score.en.srt 20.0 KB
17 Signal detection theory/203 d-prime.en.srt 20.0 KB
14 Regression/173 Multiple regression.en.srt 19.9 KB
06 Descriptive statistics/042 Measures of central tendency (mean).en.srt 19.8 KB
10 The t-test family/118 Two-samples t-test.en.srt 19.7 KB
10 The t-test family/114 Purpose and interpretation of the t-test.en.srt 19.7 KB
13 Analysis of Variance (ANOVA)/160 The omnibus F-test and post-hoc comparisons.en.srt 19.6 KB
08 Probability theory/094 Conditional probability.en.srt 19.6 KB
09 Hypothesis testing/107 Degrees of freedom.en.srt 19.4 KB
16 Clustering and dimension-reduction/201 Code_ ICA.en.srt 19.2 KB
08 Probability theory/084 Probability mass vs. density.en.srt 19.2 KB
13 Analysis of Variance (ANOVA)/164 Code_ One-way repeated-measures ANOVA.en.srt 19.1 KB
14 Regression/174 Standardizing regression coefficients.en.srt 19.1 KB
14 Regression/183 Comparing _nested_ models.en.srt 19.1 KB
16 Clustering and dimension-reduction/196 Code_ KNN.en.srt 19.0 KB
06 Descriptive statistics/043 Measures of central tendency (median, mode).en.srt 19.0 KB
08 Probability theory/078 What is probability_.en.srt 18.7 KB
06 Descriptive statistics/054 Code_ Histogram bins.en.srt 18.6 KB
16 Clustering and dimension-reduction/200 Independent components analysis (ICA).en.srt 17.9 KB
04 What are (is_) data_/019 Sample vs. population data.en.srt 17.9 KB
05 Visualizing data/022 Bar plots.en.srt 17.7 KB
09 Hypothesis testing/113 Statistical significance vs. classification accuracy.en.srt 17.7 KB
06 Descriptive statistics/038 Data distributions.en.srt 17.4 KB
13 Analysis of Variance (ANOVA)/165 Two-way ANOVA example.en.srt 17.4 KB
15 Statistical power and sample sizes/186 Estimating statistical power and sample size.en.srt 17.2 KB
09 Hypothesis testing/112 Cross-validation.en.srt 17.1 KB
10 The t-test family/125 Permutation testing for t-test significance.en.srt 17.0 KB
07 Data normalizations and outliers/075 Code_ Data trimming to remove outliers.en.srt 17.0 KB
08 Probability theory/085 Code_ compute probability mass functions.en.srt 16.6 KB
05 Visualizing data/027 Histograms.en.srt 16.4 KB
08 Probability theory/086 Cumulative probability distributions.en.srt 16.4 KB
08 Probability theory/099 The Central Limit Theorem.en.srt 16.2 KB
06 Descriptive statistics/058 Shannon entropy.en.srt 16.1 KB
06 Descriptive statistics/056 Code_ violin plots.en.srt 16.1 KB
12 Correlation/143 Partial correlation.en.srt 16.0 KB
08 Probability theory/093 Expected value.en.srt 16.0 KB
12 Correlation/151 Kendall's correlation for ordinal data.en.srt 15.8 KB
08 Probability theory/080 Computing probabilities.en.srt 15.8 KB
09 Hypothesis testing/104 Sample distributions under null and alternative hypotheses.en.srt 15.2 KB
08 Probability theory/097 The Law of Large Numbers.en.srt 15.0 KB
07 Data normalizations and outliers/072 Multivariate outlier detection.en.srt 15.0 KB
14 Regression/168 Least-squares solution to the GLM.en.srt 14.9 KB
06 Descriptive statistics/053 Histograms part 2_ Number of bins.en.srt 14.9 KB
07 Data normalizations and outliers/062 Z-score standardization.en.srt 14.9 KB
15 Statistical power and sample sizes/185 What is statistical power and why is it important_.en.srt 14.9 KB
14 Regression/180 Code_ Logistic regression.en.srt 14.8 KB
08 Probability theory/079 Probability vs. proportion.en.srt 14.7 KB
07 Data normalizations and outliers/068 Removing outliers_ z-score method.en.srt 14.7 KB
08 Probability theory/087 Code_ cdfs and pdfs.en.srt 14.7 KB
12 Correlation/139 Correlation matrix.en.srt 14.2 KB
14 Regression/171 Code_ simple regression.en.srt 14.0 KB
14 Regression/176 Polynomial regression models.en.srt 14.0 KB
01 Introductions/003 Statistics guessing game!.en.srt 13.9 KB
02 Math prerequisites/012 The logistic function.en.srt 13.7 KB
04 What are (is_) data_/018 Code_ representing types of data on computers.en.srt 13.7 KB
11 Confidence intervals on parameters/128 What are confidence intervals and why do we need them_.en.srt 13.7 KB
06 Descriptive statistics/052 Statistical _moments_.en.srt 13.6 KB
08 Probability theory/091 Sampling variability, noise, and other annoyances.en.srt 13.6 KB
09 Hypothesis testing/109 Parametric vs. non-parametric tests.en.srt 13.3 KB
11 Confidence intervals on parameters/131 Confidence intervals via bootstrapping (resampling).en.srt 13.3 KB
05 Visualizing data/025 Code_ box plots.en.srt 13.3 KB
07 Data normalizations and outliers/073 Code_ Euclidean distance for outlier removal.en.srt 13.3 KB
07 Data normalizations and outliers/065 Code_ min-max scaling.en.srt 13.1 KB
09 Hypothesis testing/110 Multiple comparisons and Bonferroni correction.en.srt 13.0 KB
05 Visualizing data/033 Linear vs. logarithmic axis scaling.en.srt 13.0 KB
17 Signal detection theory/205 Response bias.en.srt 12.8 KB
17 Signal detection theory/208 Code_ ROC curves.en.srt 12.1 KB
10 The t-test family/115 One-sample t-test.en.srt 12.1 KB
06 Descriptive statistics/037 Accuracy, precision, resolution.en.srt 11.9 KB
12 Correlation/148 Code_ Spearman correlation and Fisher-Z.en.srt 11.6 KB
17 Signal detection theory/207 Receiver operating characteristics (ROC).en.srt 11.4 KB
05 Visualizing data/034 Code_ line plots.en.srt 11.3 KB
12 Correlation/146 Nonparametric correlation_ Spearman rank.en.srt 11.2 KB
13 Analysis of Variance (ANOVA)/159 The F-test and the ANOVA table.en.srt 10.9 KB
10 The t-test family/121 Wilcoxon signed-rank (nonparametric t-test).en.srt 10.8 KB
04 What are (is_) data_/021 The ethics of making up data.en.srt 10.7 KB
06 Descriptive statistics/050 QQ plots.en.srt 10.6 KB
09 Hypothesis testing/111 Statistical vs. theoretical vs. clinical significance.en.srt 10.4 KB
08 Probability theory/096 Tree diagrams for conditional probabilities.en.srt 10.3 KB
11 Confidence intervals on parameters/129 Computing confidence intervals via formula.en.srt 10.3 KB
12 Correlation/145 The problem with Pearson.en.srt 10.3 KB
12 Correlation/147 Fisher-Z transformation for correlations.en.srt 10.3 KB
14 Regression/184 What to do about missing data.en.srt 10.0 KB
02 Math prerequisites/013 Rank and tied-rank.en.srt 10.0 KB
11 Confidence intervals on parameters/134 Misconceptions about confidence intervals.en.srt 9.4 KB
09 Hypothesis testing/106 P-z combinations that you should memorize.en.srt 9.4 KB
16 Clustering and dimension-reduction/195 K-nearest neighbor classification.en.srt 9.3 KB
10 The t-test family/123 Mann-Whitney U test (nonparametric t-test).en.srt 9.2 KB
02 Math prerequisites/008 Scientific notation.en.srt 9.1 KB
17 Signal detection theory/202 The two perspectives of the world.en.srt 9.1 KB
05 Visualizing data/032 When to use lines instead of bars.en.srt 9.0 KB
07 Data normalizations and outliers/074 Removing outliers by data trimming.en.srt 8.9 KB
05 Visualizing data/030 Pie charts.en.srt 8.8 KB
04 What are (is_) data_/016 Where do data come from and what do they mean_.en.srt 8.7 KB
01 Introductions/004 Using the Q&A forum.en.srt 8.5 KB
02 Math prerequisites/011 Natural exponent and logarithm.en.srt 8.4 KB
05 Visualizing data/024 Box-and-whisker plots.en.srt 8.1 KB
10 The t-test family/124 Code_ Mann-Whitney U test.en.srt 8.1 KB
10 The t-test family/127 _Unsupervised learning__ How many permutations_.en.srt 8.1 KB
04 What are (is_) data_/020 Samples, case reports, and anecdotes.en.srt 8.0 KB
06 Descriptive statistics/041 The beauty and simplicity of Normal.en.srt 7.9 KB
12 Correlation/154 Cosine similarity.en.srt 7.8 KB
07 Data normalizations and outliers/064 Min-max scaling.en.srt 7.5 KB
06 Descriptive statistics/048 Interquartile range (IQR).en.srt 7.3 KB
08 Probability theory/082 Probability and odds.en.srt 7.2 KB
15 Statistical power and sample sizes/187 Compute power and sample size using G_Power.en.srt 7.1 KB
10 The t-test family/120 _Unsupervised learning__ Importance of N for t-test.en.srt 7.1 KB
06 Descriptive statistics/036 Descriptive vs. inferential statistics.en.srt 6.6 KB
17 Signal detection theory/206 Code_ Response bias.en.srt 6.6 KB
07 Data normalizations and outliers/076 Non-parametric solutions to outliers.en.srt 6.6 KB
01 Introductions/001 [Important] Getting the most out of this course.en.srt 6.3 KB
02 Math prerequisites/009 Summation notation.en.srt 6.2 KB
01 Introductions/002 About using MATLAB or Python.en.srt 6.2 KB
07 Data normalizations and outliers/069 The modified z-score method.en.srt 6.1 KB
12 Correlation/142 _Unsupervised learning__ correlation to covariance matrix.en.srt 6.0 KB
07 Data normalizations and outliers/061 Garbage in, garbage out (GIGO).en.srt 5.9 KB
02 Math prerequisites/007 Arithmetic and exponents.en.srt 5.8 KB
03 IMPORTANT_ Download course materials/014 Download materials for the entire course!.en.srt 5.6 KB
06 Descriptive statistics/055 Violin plots.en.srt 5.2 KB
16 Clustering and dimension-reduction/194 _Unsupervised learning__ dbscan vs. k-means.en.srt 4.6 KB
06 Descriptive statistics/045 _Unsupervised learning__ central tendencies with outliers.en.srt 4.5 KB
02 Math prerequisites/010 Absolute value.en.srt 4.3 KB
02 Math prerequisites/006 Should you memorize statistical formulas_.en.srt 4.3 KB
07 Data normalizations and outliers/077 An outlier lecture on personal accountability.en.srt 4.3 KB
10 The t-test family/117 _Unsupervised learning__ The role of variance.en.srt 4.3 KB
12 Correlation/141 _Unsupervised learning__ average correlation matrices.en.srt 4.2 KB
18 Bonus section/211 Bonus content.html 4.2 KB
06 Descriptive statistics/057 _Unsupervised learning__ asymmetric violin plots.en.srt 4.0 KB
07 Data normalizations and outliers/071 _Unsupervised learning__ z vs. modified-z.en.srt 4.0 KB
08 Probability theory/090 Monte Carlo sampling.en.srt 4.0 KB
05 Visualizing data/026 _Unsupervised learning__ Boxplots of normal and uniform noise.en.srt 3.9 KB
07 Data normalizations and outliers/066 _Unsupervised learning__ Invert the min-max scaling.en.srt 3.8 KB
01 Introductions/003 stats-intro-GuessTheTest.zip 3.7 KB
05 Visualizing data/029 _Unsupervised learning__ Histogram proportion.en.srt 3.5 KB
12 Correlation/153 _Unsupervised learning__ Does Kendall vs. Pearson matter_.en.srt 3.5 KB
12 Correlation/150 _Unsupervised learning__ confidence interval on correlation.en.srt 3.4 KB
08 Probability theory/088 _Unsupervised learning__ cdf's for various distributions.en.srt 3.4 KB
08 Probability theory/101 _Unsupervised learning__ Averaging pairs of numbers.en.srt 3.3 KB
08 Probability theory/083 _Unsupervised learning__ probabilities of odds-space.en.srt 3.3 KB
01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.en.srt 3.2 KB
06 Descriptive statistics/040 _Unsupervised learning__ histograms of distributions.en.srt 3.2 KB
14 Regression/182 _Unsupervised learning__ Overfit data.en.srt 2.8 KB
05 Visualizing data/035 _Unsupervised learning__ log-scaled plots.en.srt 2.6 KB
16 Clustering and dimension-reduction/190 _Unsupervised learning__ K-means and normalization.en.srt 2.6 KB
17 Signal detection theory/209 _Unsupervised learning__ Make this plot look nicer!.en.srt 2.4 KB
04 What are (is_) data_/015 Is _data_ singular or plural_!_!!_!.en.srt 2.4 KB
16 Clustering and dimension-reduction/199 _Unsupervised learning__ K-means on PC data.en.srt 2.3 KB
06 Descriptive statistics/060 _Unsupervised learning__ entropy and number of bins.en.srt 2.1 KB
16 Clustering and dimension-reduction/191 _Unsupervised learning__ K-means on a Gauss blur.en.srt 2.1 KB
11 Confidence intervals on parameters/133 _Unsupervised learning__ Confidence intervals for variance.en.srt 2.0 KB
12 Correlation/149 _Unsupervised learning__ Spearman correlation.en.srt 1.9 KB
18 Bonus section/210 About deep learning.html 1.8 KB
14 Regression/172 _Unsupervised learning__ Compute R2 and F.en.srt 1.5 KB
14 Regression/178 _Unsupervised learning__ Polynomial design matrix.en.srt 1.2 KB

[Udemy] Master statistics and machine learning intuition math code (2021) [En]

File List

Download Torrent

Related Resources

Copyright Infringement