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[FreeCourseSite.com] Udemy - Master statistics and machine learning intuition math code
magnet:?xt=urn:btih:f9dc0101ca8d990a05ee3f012e4058f0b5c94fbb&dn=[FreeCourseSite.com] Udemy - Master statistics and machine learning intuition math code
磁力链接详情
Hash值:
f9dc0101ca8d990a05ee3f012e4058f0b5c94fbb
点击数:
225
文件大小:
11.72 GB
文件数量:
209
创建日期:
2021-4-14 18:26
最后访问:
2024-6-21 08:22
访问标签:
FreeCourseSite
com
Udemy
-
Master
statistics
and
machine
learning
intuition
math
code
文件列表详情
01 Introductions/001 [Important] Getting the most out of this course.mp4 38.04 MB
01 Introductions/002 About using MATLAB or Python.mp4 38.91 MB
01 Introductions/003 Statistics guessing game!.mp4 80.31 MB
01 Introductions/004 Using the Q&A forum.mp4 24.47 MB
01 Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.mp4 8.46 MB
02 Math prerequisites/006 Should you memorize statistical formulas_.mp4 28.04 MB
02 Math prerequisites/007 Arithmetic and exponents.mp4 7.62 MB
02 Math prerequisites/008 Scientific notation.mp4 12.96 MB
02 Math prerequisites/009 Summation notation.mp4 7.8 MB
02 Math prerequisites/010 Absolute value.mp4 6.97 MB
02 Math prerequisites/011 Natural exponent and logarithm.mp4 12.28 MB
02 Math prerequisites/012 The logistic function.mp4 18.03 MB
02 Math prerequisites/013 Rank and tied-rank.mp4 12.94 MB
03 IMPORTANT_ Download course materials/014 Download materials for the entire course!.mp4 14.52 MB
04 What are (is_) data_/015 Is _data_ singular or plural_!_!!_!.mp4 10.89 MB
04 What are (is_) data_/016 Where do data come from and what do they mean_.mp4 35.62 MB
04 What are (is_) data_/017 Types of data_ categorical, numerical, etc.mp4 59.62 MB
04 What are (is_) data_/018 Code_ representing types of data on computers.mp4 47.94 MB
04 What are (is_) data_/019 Sample vs. population data.mp4 37.27 MB
04 What are (is_) data_/020 Samples, case reports, and anecdotes.mp4 17.88 MB
04 What are (is_) data_/021 The ethics of making up data.mp4 19.76 MB
05 Visualizing data/022 Bar plots.mp4 37.01 MB
05 Visualizing data/023 Code_ bar plots.mp4 100.24 MB
05 Visualizing data/024 Box-and-whisker plots.mp4 11.21 MB
05 Visualizing data/025 Code_ box plots.mp4 83.68 MB
05 Visualizing data/026 _Unsupervised learning__ Boxplots of normal and uniform noise.mp4 8.27 MB
05 Visualizing data/027 Histograms.mp4 43.91 MB
05 Visualizing data/028 Code_ histograms.mp4 133.75 MB
05 Visualizing data/029 _Unsupervised learning__ Histogram proportion.mp4 11.83 MB
05 Visualizing data/030 Pie charts.mp4 16.63 MB
05 Visualizing data/031 Code_ pie charts.mp4 69.24 MB
05 Visualizing data/032 When to use lines instead of bars.mp4 18.08 MB
05 Visualizing data/033 Linear vs. logarithmic axis scaling.mp4 25.66 MB
05 Visualizing data/034 Code_ line plots.mp4 37.42 MB
05 Visualizing data/035 _Unsupervised learning__ log-scaled plots.mp4 3.75 MB
06 Descriptive statistics/036 Descriptive vs. inferential statistics.mp4 21.56 MB
06 Descriptive statistics/037 Accuracy, precision, resolution.mp4 25.54 MB
06 Descriptive statistics/038 Data distributions.mp4 32.14 MB
06 Descriptive statistics/039 Code_ data from different distributions.mp4 303.53 MB
06 Descriptive statistics/040 _Unsupervised learning__ histograms of distributions.mp4 10.21 MB
06 Descriptive statistics/041 The beauty and simplicity of Normal.mp4 10.31 MB
06 Descriptive statistics/042 Measures of central tendency (mean).mp4 38.91 MB
06 Descriptive statistics/043 Measures of central tendency (median, mode).mp4 34.45 MB
06 Descriptive statistics/044 Code_ computing central tendency.mp4 76.27 MB
06 Descriptive statistics/045 _Unsupervised learning__ central tendencies with outliers.mp4 16.79 MB
06 Descriptive statistics/046 Measures of dispersion (variance, standard deviation).mp4 54.41 MB
06 Descriptive statistics/047 Code_ Computing dispersion.mp4 266.53 MB
06 Descriptive statistics/048 Interquartile range (IQR).mp4 9.91 MB
06 Descriptive statistics/049 Code_ IQR.mp4 83.65 MB
06 Descriptive statistics/050 QQ plots.mp4 16.34 MB
06 Descriptive statistics/051 Code_ QQ plots.mp4 90.55 MB
06 Descriptive statistics/052 Statistical _moments_.mp4 21.81 MB
06 Descriptive statistics/053 Histograms part 2_ Number of bins.mp4 23.53 MB
06 Descriptive statistics/054 Code_ Histogram bins.mp4 118.27 MB
06 Descriptive statistics/055 Violin plots.mp4 6.53 MB
06 Descriptive statistics/056 Code_ violin plots.mp4 105.08 MB
06 Descriptive statistics/057 _Unsupervised learning__ asymmetric violin plots.mp4 17.37 MB
06 Descriptive statistics/058 Shannon entropy.mp4 33.23 MB
06 Descriptive statistics/059 Code_ entropy.mp4 110.34 MB
06 Descriptive statistics/060 _Unsupervised learning__ entropy and number of bins.mp4 8.27 MB
07 Data normalizations and outliers/061 Garbage in, garbage out (GIGO).mp4 11.61 MB
07 Data normalizations and outliers/062 Z-score standardization.mp4 36.38 MB
07 Data normalizations and outliers/063 Code_ z-score.mp4 66.96 MB
07 Data normalizations and outliers/064 Min-max scaling.mp4 11.74 MB
07 Data normalizations and outliers/065 Code_ min-max scaling.mp4 40.53 MB
07 Data normalizations and outliers/066 _Unsupervised learning__ Invert the min-max scaling.mp4 6.82 MB
07 Data normalizations and outliers/067 What are outliers and why are they dangerous_.mp4 43.23 MB
07 Data normalizations and outliers/068 Removing outliers_ z-score method.mp4 33.66 MB
07 Data normalizations and outliers/069 The modified z-score method.mp4 9.68 MB
07 Data normalizations and outliers/070 Code_ z-score for outlier removal.mp4 137.22 MB
07 Data normalizations and outliers/071 _Unsupervised learning__ z vs. modified-z.mp4 9.07 MB
07 Data normalizations and outliers/072 Multivariate outlier detection.mp4 25.19 MB
07 Data normalizations and outliers/073 Code_ Euclidean distance for outlier removal.mp4 43.84 MB
07 Data normalizations and outliers/074 Removing outliers by data trimming.mp4 16.99 MB
07 Data normalizations and outliers/075 Code_ Data trimming to remove outliers.mp4 65.43 MB
07 Data normalizations and outliers/076 Non-parametric solutions to outliers.mp4 23.05 MB
07 Data normalizations and outliers/077 An outlier lecture on personal accountability.mp4 17.83 MB
08 Probability theory/078 What is probability_.mp4 41.32 MB
08 Probability theory/079 Probability vs. proportion.mp4 37.66 MB
08 Probability theory/080 Computing probabilities.mp4 37.69 MB
08 Probability theory/081 Code_ compute probabilities.mp4 137.11 MB
08 Probability theory/082 Probability and odds.mp4 12.01 MB
08 Probability theory/083 _Unsupervised learning__ probabilities of odds-space.mp4 5.96 MB
08 Probability theory/084 Probability mass vs. density.mp4 134.39 MB
08 Probability theory/085 Code_ compute probability mass functions.mp4 66.29 MB
08 Probability theory/086 Cumulative probability distributions.mp4 36.73 MB
08 Probability theory/087 Code_ cdfs and pdfs.mp4 42.28 MB
08 Probability theory/088 _Unsupervised learning__ cdf's for various distributions.mp4 9.35 MB
08 Probability theory/089 Creating sample estimate distributions.mp4 125.23 MB
08 Probability theory/090 Monte Carlo sampling.mp4 16.35 MB
08 Probability theory/091 Sampling variability, noise, and other annoyances.mp4 106.24 MB
08 Probability theory/092 Code_ sampling variability.mp4 155.12 MB
08 Probability theory/093 Expected value.mp4 59.79 MB
08 Probability theory/094 Conditional probability.mp4 85.95 MB
08 Probability theory/095 Code_ conditional probabilities.mp4 115.37 MB
08 Probability theory/096 Tree diagrams for conditional probabilities.mp4 13.61 MB
08 Probability theory/097 The Law of Large Numbers.mp4 40.72 MB
08 Probability theory/098 Code_ Law of Large Numbers in action.mp4 165.91 MB
08 Probability theory/099 The Central Limit Theorem.mp4 26.84 MB
08 Probability theory/100 Code_ the CLT in action.mp4 93.57 MB
08 Probability theory/101 _Unsupervised learning__ Averaging pairs of numbers.mp4 9.51 MB
09 Hypothesis testing/102 IVs, DVs, models, and other stats lingo.mp4 91.48 MB
09 Hypothesis testing/103 What is an hypothesis and how do you specify one_.mp4 49.37 MB
09 Hypothesis testing/104 Sample distributions under null and alternative hypotheses.mp4 43.92 MB
09 Hypothesis testing/105 P-values_ definition, tails, and misinterpretations.mp4 131.88 MB
09 Hypothesis testing/106 P-z combinations that you should memorize.mp4 17.33 MB
09 Hypothesis testing/107 Degrees of freedom.mp4 33.1 MB
09 Hypothesis testing/108 Type 1 and Type 2 errors.mp4 46.14 MB
09 Hypothesis testing/109 Parametric vs. non-parametric tests.mp4 87.66 MB
09 Hypothesis testing/110 Multiple comparisons and Bonferroni correction.mp4 29.7 MB
09 Hypothesis testing/111 Statistical vs. theoretical vs. clinical significance.mp4 19.19 MB
09 Hypothesis testing/112 Cross-validation.mp4 28.44 MB
09 Hypothesis testing/113 Statistical significance vs. classification accuracy.mp4 42.69 MB
10 The t-test family/114 Purpose and interpretation of the t-test.mp4 32.21 MB
10 The t-test family/115 One-sample t-test.mp4 54.1 MB
10 The t-test family/116 Code_ One-sample t-test.mp4 158.23 MB
10 The t-test family/117 _Unsupervised learning__ The role of variance.mp4 28.68 MB
10 The t-test family/118 Two-samples t-test.mp4 93.81 MB
10 The t-test family/119 Code_ Two-samples t-test.mp4 211.61 MB
10 The t-test family/120 _Unsupervised learning__ Importance of N for t-test.mp4 20.09 MB
10 The t-test family/121 Wilcoxon signed-rank (nonparametric t-test).mp4 30.44 MB
10 The t-test family/122 Code_ Signed-rank test.mp4 162.12 MB
10 The t-test family/123 Mann-Whitney U test (nonparametric t-test).mp4 20.41 MB
10 The t-test family/124 Code_ Mann-Whitney U test.mp4 52.05 MB
10 The t-test family/125 Permutation testing for t-test significance.mp4 63.66 MB
10 The t-test family/126 Code_ permutation testing.mp4 241.29 MB
10 The t-test family/127 _Unsupervised learning__ How many permutations_.mp4 55.4 MB
11 Confidence intervals on parameters/128 What are confidence intervals and why do we need them_.mp4 29.97 MB
11 Confidence intervals on parameters/129 Computing confidence intervals via formula.mp4 17.44 MB
11 Confidence intervals on parameters/130 Code_ compute confidence intervals by formula.mp4 149.63 MB
11 Confidence intervals on parameters/131 Confidence intervals via bootstrapping (resampling).mp4 54.41 MB
11 Confidence intervals on parameters/132 Code_ bootstrapping confidence intervals.mp4 136.76 MB
11 Confidence intervals on parameters/133 _Unsupervised learning__ Confidence intervals for variance.mp4 8.57 MB
11 Confidence intervals on parameters/134 Misconceptions about confidence intervals.mp4 18.7 MB
12 Correlation/135 Motivation and description of correlation.mp4 96.65 MB
12 Correlation/136 Covariance and correlation_ formulas.mp4 42.08 MB
12 Correlation/137 Code_ correlation coefficient.mp4 214.65 MB
12 Correlation/138 Code_ Simulate data with specified correlation.mp4 136.21 MB
12 Correlation/139 Correlation matrix.mp4 31.12 MB
12 Correlation/140 Code_ correlation matrix.mp4 282.79 MB
12 Correlation/141 _Unsupervised learning__ average correlation matrices.mp4 18.53 MB
12 Correlation/142 _Unsupervised learning__ correlation to covariance matrix.mp4 10.2 MB
12 Correlation/143 Partial correlation.mp4 59.54 MB
12 Correlation/144 Code_ partial correlation.mp4 108.26 MB
12 Correlation/145 The problem with Pearson.mp4 16.69 MB
12 Correlation/146 Nonparametric correlation_ Spearman rank.mp4 23.84 MB
12 Correlation/147 Fisher-Z transformation for correlations.mp4 28.6 MB
12 Correlation/148 Code_ Spearman correlation and Fisher-Z.mp4 42.81 MB
12 Correlation/149 _Unsupervised learning__ Spearman correlation.mp4 15.96 MB
12 Correlation/150 _Unsupervised learning__ confidence interval on correlation.mp4 8.9 MB
12 Correlation/151 Kendall's correlation for ordinal data.mp4 30.32 MB
12 Correlation/152 Code_ Kendall correlation.mp4 184.47 MB
12 Correlation/153 _Unsupervised learning__ Does Kendall vs. Pearson matter_.mp4 14.95 MB
12 Correlation/154 Cosine similarity.mp4 14.28 MB
12 Correlation/155 Code_ Cosine similarity vs. Pearson correlation.mp4 102.53 MB
13 Analysis of Variance (ANOVA)/156 ANOVA intro, part1.mp4 137.94 MB
13 Analysis of Variance (ANOVA)/157 ANOVA intro, part 2.mp4 84.6 MB
13 Analysis of Variance (ANOVA)/158 Sum of squares.mp4 46.02 MB
13 Analysis of Variance (ANOVA)/159 The F-test and the ANOVA table.mp4 20.02 MB
13 Analysis of Variance (ANOVA)/160 The omnibus F-test and post-hoc comparisons.mp4 63.61 MB
13 Analysis of Variance (ANOVA)/161 The two-way ANOVA.mp4 104.77 MB
13 Analysis of Variance (ANOVA)/162 One-way ANOVA example.mp4 44.53 MB
13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).mp4 172.94 MB
13 Analysis of Variance (ANOVA)/164 Code_ One-way repeated-measures ANOVA.mp4 73.3 MB
13 Analysis of Variance (ANOVA)/165 Two-way ANOVA example.mp4 35.83 MB
13 Analysis of Variance (ANOVA)/166 Code_ Two-way mixed ANOVA.mp4 114.36 MB
14 Regression/167 Introduction to GLM _ regression.mp4 62.31 MB
14 Regression/168 Least-squares solution to the GLM.mp4 41.59 MB
14 Regression/169 Evaluating regression models_ R2 and F.mp4 38.33 MB
14 Regression/170 Simple regression.mp4 36.98 MB
14 Regression/171 Code_ simple regression.mp4 52.36 MB
14 Regression/172 _Unsupervised learning__ Compute R2 and F.mp4 4.7 MB
14 Regression/173 Multiple regression.mp4 69.08 MB
14 Regression/174 Standardizing regression coefficients.mp4 47.47 MB
14 Regression/175 Code_ Multiple regression.mp4 171.33 MB
14 Regression/176 Polynomial regression models.mp4 49.2 MB
14 Regression/177 Code_ polynomial modeling.mp4 129.33 MB
14 Regression/178 _Unsupervised learning__ Polynomial design matrix.mp4 5.47 MB
14 Regression/179 Logistic regression.mp4 52.98 MB
14 Regression/180 Code_ Logistic regression.mp4 81.4 MB
14 Regression/181 Under- and over-fitting.mp4 121.15 MB
14 Regression/182 _Unsupervised learning__ Overfit data.mp4 4.85 MB
14 Regression/183 Comparing _nested_ models.mp4 39.3 MB
14 Regression/184 What to do about missing data.mp4 16.15 MB
15 Statistical power and sample sizes/185 What is statistical power and why is it important_.mp4 39.69 MB
15 Statistical power and sample sizes/186 Estimating statistical power and sample size.mp4 31.07 MB
15 Statistical power and sample sizes/187 Compute power and sample size using G_Power.mp4 31.24 MB
16 Clustering and dimension-reduction/188 K-means clustering.mp4 54.51 MB
16 Clustering and dimension-reduction/189 Code_ k-means clustering.mp4 230.73 MB
16 Clustering and dimension-reduction/190 _Unsupervised learning__ K-means and normalization.mp4 11.21 MB
16 Clustering and dimension-reduction/191 _Unsupervised learning__ K-means on a Gauss blur.mp4 7.94 MB
16 Clustering and dimension-reduction/192 Clustering via dbscan.mp4 100.7 MB
16 Clustering and dimension-reduction/193 Code_ dbscan.mp4 288.67 MB
16 Clustering and dimension-reduction/194 _Unsupervised learning__ dbscan vs. k-means.mp4 20 MB
16 Clustering and dimension-reduction/195 K-nearest neighbor classification.mp4 12.57 MB
16 Clustering and dimension-reduction/196 Code_ KNN.mp4 108.6 MB
16 Clustering and dimension-reduction/197 Principal components analysis (PCA).mp4 42.83 MB
16 Clustering and dimension-reduction/198 Code_ PCA.mp4 73.1 MB
16 Clustering and dimension-reduction/199 _Unsupervised learning__ K-means on PC data.mp4 11.6 MB
16 Clustering and dimension-reduction/200 Independent components analysis (ICA).mp4 45.7 MB
16 Clustering and dimension-reduction/201 Code_ ICA.mp4 73.53 MB
17 Signal detection theory/202 The two perspectives of the world.mp4 14 MB
17 Signal detection theory/203 d-prime.mp4 39.59 MB
17 Signal detection theory/204 Code_ d-prime.mp4 69.75 MB
17 Signal detection theory/205 Response bias.mp4 21.95 MB
17 Signal detection theory/206 Code_ Response bias.mp4 22.9 MB
17 Signal detection theory/207 Receiver operating characteristics (ROC).mp4 64.45 MB
17 Signal detection theory/208 Code_ ROC curves.mp4 54.76 MB
17 Signal detection theory/209 _Unsupervised learning__ Make this plot look nicer!.mp4 11.54 MB
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