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GetFreeCourses.Co-Udemy-Master statistics & machine learning - intuition, math, code
magnet:?xt=urn:btih:16343a87ae284897e21e41a7bdff4cadf71feab1&dn=GetFreeCourses.Co-Udemy-Master statistics & machine learning - intuition, math, code
磁力链接详情
Hash值:
16343a87ae284897e21e41a7bdff4cadf71feab1
点击数:
175
文件大小:
12.83 GB
文件数量:
221
创建日期:
2022-1-6 18:50
最后访问:
2024-6-8 15:10
访问标签:
GetFreeCourses
Co-Udemy-Master
statistics
&
machine
learning
-
intuition
math
code
文件列表详情
01 - Introductions/001 [Important] Getting the most out of this course.mp4 38.26 MB
01 - Introductions/002 About using MATLAB or Python.mp4 27.11 MB
01 - Introductions/003 Statistics guessing game_.mp4 48.39 MB
01 - Introductions/004 Using the Q&A forum.mp4 24.36 MB
01 - Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.mp4 7.06 MB
02 - Math prerequisites/001 Should you memorize statistical formulas_.mp4 28 MB
02 - Math prerequisites/002 Arithmetic and exponents.mp4 7.55 MB
02 - Math prerequisites/003 Scientific notation.mp4 12.87 MB
02 - Math prerequisites/004 Summation notation.mp4 7.73 MB
02 - Math prerequisites/005 Absolute value.mp4 6.92 MB
02 - Math prerequisites/006 Natural exponent and logarithm.mp4 12.18 MB
02 - Math prerequisites/007 The logistic function.mp4 17.9 MB
02 - Math prerequisites/008 Rank and tied-rank.mp4 12.92 MB
03 - IMPORTANT_ Download course materials/001 Download materials for the entire course_.mp4 14.46 MB
04 - What are (is_) data_/001 Is _data_ singular or plural_______.mp4 10.92 MB
04 - What are (is_) data_/002 Where do data come from and what do they mean_.mp4 35.54 MB
04 - What are (is_) data_/003 Types of data_ categorical, numerical, etc.mp4 59.37 MB
04 - What are (is_) data_/004 Code_ representing types of data on computers.mp4 47.83 MB
04 - What are (is_) data_/005 Sample vs. population data.mp4 37.06 MB
04 - What are (is_) data_/006 Samples, case reports, and anecdotes.mp4 17.79 MB
04 - What are (is_) data_/007 The ethics of making up data.mp4 19.65 MB
05 - Visualizing data/001 Bar plots.mp4 36.83 MB
05 - Visualizing data/002 Code_ bar plots.mp4 100.03 MB
05 - Visualizing data/003 Box-and-whisker plots.mp4 11.12 MB
05 - Visualizing data/004 Code_ box plots.mp4 83.65 MB
05 - Visualizing data/005 _Unsupervised learning__ Boxplots of normal and uniform noise.mp4 8.24 MB
05 - Visualizing data/006 Histograms.mp4 43.73 MB
05 - Visualizing data/007 Code_ histograms.mp4 133.49 MB
05 - Visualizing data/008 _Unsupervised learning__ Histogram proportion.mp4 11.79 MB
05 - Visualizing data/009 Pie charts.mp4 16.53 MB
05 - Visualizing data/010 Code_ pie charts.mp4 78.92 MB
05 - Visualizing data/011 When to use lines instead of bars.mp4 17.98 MB
05 - Visualizing data/012 Linear vs. logarithmic axis scaling.mp4 25.64 MB
05 - Visualizing data/013 Code_ line plots.mp4 37.29 MB
05 - Visualizing data/014 _Unsupervised learning__ log-scaled plots.mp4 3.73 MB
06 - Descriptive statistics/001 Descriptive vs. inferential statistics.mp4 21.48 MB
06 - Descriptive statistics/002 Accuracy, precision, resolution.mp4 25.42 MB
06 - Descriptive statistics/003 Data distributions.mp4 31.95 MB
06 - Descriptive statistics/004 Code_ data from different distributions.mp4 303.11 MB
06 - Descriptive statistics/005 _Unsupervised learning__ histograms of distributions.mp4 10.18 MB
06 - Descriptive statistics/006 The beauty and simplicity of Normal.mp4 10.23 MB
06 - Descriptive statistics/007 Measures of central tendency (mean).mp4 38.7 MB
06 - Descriptive statistics/008 Measures of central tendency (median, mode).mp4 34.26 MB
06 - Descriptive statistics/009 Code_ computing central tendency.mp4 66.6 MB
06 - Descriptive statistics/010 _Unsupervised learning__ central tendencies with outliers.mp4 16.74 MB
06 - Descriptive statistics/011 Measures of dispersion (variance, standard deviation).mp4 54.12 MB
06 - Descriptive statistics/012 Code_ Computing dispersion.mp4 266.09 MB
06 - Descriptive statistics/013 Interquartile range (IQR).mp4 9.84 MB
06 - Descriptive statistics/014 Code_ IQR.mp4 83.39 MB
06 - Descriptive statistics/015 QQ plots.mp4 16.22 MB
06 - Descriptive statistics/016 Code_ QQ plots.mp4 90.3 MB
06 - Descriptive statistics/017 Statistical _moments_.mp4 21.68 MB
06 - Descriptive statistics/018 Histograms part 2_ Number of bins.mp4 23.5 MB
06 - Descriptive statistics/019 Code_ Histogram bins.mp4 118.12 MB
06 - Descriptive statistics/020 Violin plots.mp4 6.47 MB
06 - Descriptive statistics/021 Code_ violin plots.mp4 104.96 MB
06 - Descriptive statistics/022 _Unsupervised learning__ asymmetric violin plots.mp4 17.32 MB
06 - Descriptive statistics/023 Shannon entropy.mp4 33.05 MB
06 - Descriptive statistics/024 Code_ entropy.mp4 96.76 MB
06 - Descriptive statistics/025 _Unsupervised learning__ entropy and number of bins.mp4 8.25 MB
07 - Data normalizations and outliers/001 Garbage in, garbage out (GIGO).mp4 11.55 MB
07 - Data normalizations and outliers/002 Z-score standardization.mp4 36.23 MB
07 - Data normalizations and outliers/003 Code_ z-score.mp4 66.77 MB
07 - Data normalizations and outliers/004 Min-max scaling.mp4 11.73 MB
07 - Data normalizations and outliers/005 Code_ min-max scaling.mp4 40.43 MB
07 - Data normalizations and outliers/006 _Unsupervised learning__ Invert the min-max scaling.mp4 6.79 MB
07 - Data normalizations and outliers/007 What are outliers and why are they dangerous_.mp4 43 MB
07 - Data normalizations and outliers/008 Removing outliers_ z-score method.mp4 33.51 MB
07 - Data normalizations and outliers/009 The modified z-score method.mp4 9.62 MB
07 - Data normalizations and outliers/010 Code_ z-score for outlier removal.mp4 136.89 MB
07 - Data normalizations and outliers/011 _Unsupervised learning__ z vs. modified-z.mp4 9.02 MB
07 - Data normalizations and outliers/012 Multivariate outlier detection.mp4 25.05 MB
07 - Data normalizations and outliers/013 Code_ Euclidean distance for outlier removal.mp4 43.72 MB
07 - Data normalizations and outliers/014 Removing outliers by data trimming.mp4 16.9 MB
07 - Data normalizations and outliers/015 Code_ Data trimming to remove outliers.mp4 65.29 MB
07 - Data normalizations and outliers/016 Non-parametric solutions to outliers.mp4 22.96 MB
07 - Data normalizations and outliers/017 Nonlinear data transformations.mp4 33.69 MB
07 - Data normalizations and outliers/018 An outlier lecture on personal accountability.mp4 17.7 MB
08 - Probability theory/001 What is probability_.mp4 41.11 MB
08 - Probability theory/002 Probability vs. proportion.mp4 37.52 MB
08 - Probability theory/003 Computing probabilities.mp4 37.52 MB
08 - Probability theory/004 Code_ compute probabilities.mp4 148.4 MB
08 - Probability theory/005 Probability and odds.mp4 12.01 MB
08 - Probability theory/006 _Unsupervised learning__ probabilities of odds-space.mp4 5.92 MB
08 - Probability theory/007 Probability mass vs. density.mp4 134.14 MB
08 - Probability theory/008 Code_ compute probability mass functions.mp4 66.17 MB
08 - Probability theory/009 Cumulative distribution functions.mp4 45.41 MB
08 - Probability theory/010 Code_ cdfs and pdfs.mp4 95.94 MB
08 - Probability theory/011 _Unsupervised learning__ cdf's for various distributions.mp4 9.31 MB
08 - Probability theory/012 Creating sample estimate distributions.mp4 124.85 MB
08 - Probability theory/013 Monte Carlo sampling.mp4 8.83 MB
08 - Probability theory/014 Sampling variability, noise, and other annoyances.mp4 106.08 MB
08 - Probability theory/015 Code_ sampling variability.mp4 154.75 MB
08 - Probability theory/016 Expected value.mp4 59.63 MB
08 - Probability theory/017 Conditional probability.mp4 85.68 MB
08 - Probability theory/018 Code_ conditional probabilities.mp4 115.08 MB
08 - Probability theory/019 Tree diagrams for conditional probabilities.mp4 13.5 MB
08 - Probability theory/020 The Law of Large Numbers.mp4 40.55 MB
08 - Probability theory/021 Code_ Law of Large Numbers in action.mp4 165.6 MB
08 - Probability theory/022 The Central Limit Theorem.mp4 26.67 MB
08 - Probability theory/023 Code_ the CLT in action.mp4 93.32 MB
08 - Probability theory/024 _Unsupervised learning__ Averaging pairs of numbers.mp4 9.48 MB
09 - Hypothesis testing/001 IVs, DVs, models, and other stats lingo.mp4 91.14 MB
09 - Hypothesis testing/002 What is an hypothesis and how do you specify one_.mp4 49.12 MB
09 - Hypothesis testing/003 Sample distributions under null and alternative hypotheses.mp4 43.75 MB
09 - Hypothesis testing/004 P-values_ definition, tails, and misinterpretations.mp4 106.47 MB
09 - Hypothesis testing/005 P-z combinations that you should memorize.mp4 17.32 MB
09 - Hypothesis testing/006 Degrees of freedom.mp4 32.9 MB
09 - Hypothesis testing/007 Type 1 and Type 2 errors.mp4 45.9 MB
09 - Hypothesis testing/008 Parametric vs. non-parametric tests.mp4 87.45 MB
09 - Hypothesis testing/009 Multiple comparisons and Bonferroni correction.mp4 29.56 MB
09 - Hypothesis testing/010 Statistical vs. theoretical vs. clinical significance.mp4 19.08 MB
09 - Hypothesis testing/011 Cross-validation.mp4 28.25 MB
09 - Hypothesis testing/012 Statistical significance vs. classification accuracy.mp4 42.5 MB
10 - The t-test family/001 Purpose and interpretation of the t-test.mp4 32.16 MB
10 - The t-test family/002 One-sample t-test.mp4 53.95 MB
10 - The t-test family/003 Code_ One-sample t-test.mp4 157.96 MB
10 - The t-test family/004 _Unsupervised learning__ The role of variance.mp4 28.65 MB
10 - The t-test family/005 Two-samples t-test.mp4 93.81 MB
10 - The t-test family/006 Code_ Two-samples t-test.mp4 211.35 MB
10 - The t-test family/007 _Unsupervised learning__ Importance of N for t-test.mp4 16.77 MB
10 - The t-test family/008 Wilcoxon signed-rank (nonparametric t-test).mp4 25.98 MB
10 - The t-test family/009 Code_ Signed-rank test.mp4 161.85 MB
10 - The t-test family/010 Mann-Whitney U test (nonparametric t-test).mp4 20.32 MB
10 - The t-test family/011 Code_ Mann-Whitney U test.mp4 52.05 MB
10 - The t-test family/012 Permutation testing for t-test significance.mp4 63.48 MB
10 - The t-test family/013 Code_ permutation testing.mp4 240.9 MB
10 - The t-test family/014 _Unsupervised learning__ How many permutations_.mp4 32.5 MB
11 - Confidence intervals on parameters/001 What are confidence intervals and why do we need them_.mp4 29.83 MB
11 - Confidence intervals on parameters/002 Computing confidence intervals via formula.mp4 17.33 MB
11 - Confidence intervals on parameters/003 Code_ compute confidence intervals by formula.mp4 94.29 MB
11 - Confidence intervals on parameters/004 Confidence intervals via bootstrapping (resampling).mp4 54.27 MB
11 - Confidence intervals on parameters/005 Code_ bootstrapping confidence intervals.mp4 136.71 MB
11 - Confidence intervals on parameters/006 _Unsupervised learning__ Confidence intervals for variance.mp4 8.54 MB
11 - Confidence intervals on parameters/007 Misconceptions about confidence intervals.mp4 18.6 MB
12 - Correlation/001 Motivation and description of correlation.mp4 118.43 MB
12 - Correlation/002 Covariance and correlation_ formulas.mp4 41.85 MB
12 - Correlation/003 Code_ correlation coefficient.mp4 214.14 MB
12 - Correlation/004 Code_ Simulate data with specified correlation.mp4 70.12 MB
12 - Correlation/005 Correlation matrix.mp4 30.96 MB
12 - Correlation/006 Code_ correlation matrix.mp4 282.48 MB
12 - Correlation/007 _Unsupervised learning__ average correlation matrices.mp4 18.49 MB
12 - Correlation/008 _Unsupervised learning__ correlation to covariance matrix.mp4 10.13 MB
12 - Correlation/009 Partial correlation.mp4 59.34 MB
12 - Correlation/010 Code_ partial correlation.mp4 108.27 MB
12 - Correlation/011 The problem with Pearson.mp4 16.57 MB
12 - Correlation/012 Nonparametric correlation_ Spearman rank.mp4 23.72 MB
12 - Correlation/013 Fisher-Z transformation for correlations.mp4 28.48 MB
12 - Correlation/014 Code_ Spearman correlation and Fisher-Z.mp4 42.71 MB
12 - Correlation/015 _Unsupervised learning__ Spearman correlation.mp4 15.95 MB
12 - Correlation/016 _Unsupervised learning__ confidence interval on correlation.mp4 10.31 MB
12 - Correlation/017 Kendall's correlation for ordinal data.mp4 30.15 MB
12 - Correlation/018 Code_ Kendall correlation.mp4 184.22 MB
12 - Correlation/019 _Unsupervised learning__ Does Kendall vs. Pearson matter_.mp4 14.95 MB
12 - Correlation/020 The subgroups correlation paradox.mp4 21.57 MB
12 - Correlation/021 Cosine similarity.mp4 14.2 MB
12 - Correlation/022 Code_ Cosine similarity vs. Pearson correlation.mp4 102.19 MB
13 - Analysis of Variance (ANOVA)/001 ANOVA intro, part1.mp4 137.72 MB
13 - Analysis of Variance (ANOVA)/002 ANOVA intro, part 2.mp4 84.25 MB
13 - Analysis of Variance (ANOVA)/003 Sum of squares.mp4 45.88 MB
13 - Analysis of Variance (ANOVA)/004 The F-test and the ANOVA table.mp4 19.9 MB
13 - Analysis of Variance (ANOVA)/005 The omnibus F-test and post-hoc comparisons.mp4 63.36 MB
13 - Analysis of Variance (ANOVA)/006 The two-way ANOVA.mp4 104.39 MB
13 - Analysis of Variance (ANOVA)/007 One-way ANOVA example.mp4 44.32 MB
13 - Analysis of Variance (ANOVA)/008 Code_ One-way ANOVA (independent samples).mp4 172.72 MB
13 - Analysis of Variance (ANOVA)/009 Code_ One-way repeated-measures ANOVA.mp4 73.1 MB
13 - Analysis of Variance (ANOVA)/010 Two-way ANOVA example.mp4 35.95 MB
13 - Analysis of Variance (ANOVA)/011 Code_ Two-way mixed ANOVA.mp4 114.16 MB
14 - Regression/001 Introduction to GLM _ regression.mp4 61.97 MB
14 - Regression/002 Least-squares solution to the GLM.mp4 41.41 MB
14 - Regression/003 Evaluating regression models_ R2 and F.mp4 38.06 MB
14 - Regression/004 Simple regression.mp4 36.77 MB
14 - Regression/005 Code_ simple regression.mp4 52.29 MB
14 - Regression/006 _Unsupervised learning__ Compute R2 and F.mp4 5.38 MB
14 - Regression/007 Multiple regression.mp4 45.14 MB
14 - Regression/008 Standardizing regression coefficients.mp4 75.19 MB
14 - Regression/009 Code_ Multiple regression.mp4 170.95 MB
14 - Regression/010 Polynomial regression models.mp4 48.15 MB
14 - Regression/011 Code_ polynomial modeling.mp4 129.08 MB
14 - Regression/012 _Unsupervised learning__ Polynomial design matrix.mp4 4.74 MB
14 - Regression/013 Logistic regression.mp4 52.7 MB
14 - Regression/014 Code_ Logistic regression.mp4 81.23 MB
14 - Regression/015 Under- and over-fitting.mp4 120.86 MB
14 - Regression/016 _Unsupervised learning__ Overfit data.mp4 4.82 MB
14 - Regression/017 Comparing _nested_ models.mp4 39.07 MB
14 - Regression/018 What to do about missing data.mp4 16.05 MB
15 - Statistical power and sample sizes/001 What is statistical power and why is it important_.mp4 39.53 MB
15 - Statistical power and sample sizes/002 Estimating statistical power and sample size.mp4 36.16 MB
15 - Statistical power and sample sizes/003 Compute power and sample size using G_Power.mp4 31.2 MB
16 - Clustering and dimension-reduction/001 K-means clustering.mp4 54.29 MB
16 - Clustering and dimension-reduction/002 Code_ k-means clustering.mp4 230.34 MB
16 - Clustering and dimension-reduction/003 _Unsupervised learning__ K-means and normalization.mp4 12.91 MB
16 - Clustering and dimension-reduction/004 _Unsupervised learning__ K-means on a Gauss blur.mp4 7.94 MB
16 - Clustering and dimension-reduction/005 Clustering via dbscan.mp4 100.3 MB
16 - Clustering and dimension-reduction/006 Code_ dbscan.mp4 288.12 MB
16 - Clustering and dimension-reduction/007 _Unsupervised learning__ dbscan vs. k-means.mp4 19.94 MB
16 - Clustering and dimension-reduction/008 K-nearest neighbor classification.mp4 12.47 MB
16 - Clustering and dimension-reduction/009 Code_ KNN.mp4 108.34 MB
16 - Clustering and dimension-reduction/010 Principal components analysis (PCA).mp4 42.56 MB
16 - Clustering and dimension-reduction/011 Code_ PCA.mp4 175.1 MB
16 - Clustering and dimension-reduction/012 _Unsupervised learning__ K-means on PC data.mp4 11.52 MB
16 - Clustering and dimension-reduction/013 Independent components analysis (ICA).mp4 45.52 MB
16 - Clustering and dimension-reduction/014 Code_ ICA.mp4 73.36 MB
17 - Signal detection theory/001 The two perspectives of the world.mp4 13.91 MB
17 - Signal detection theory/002 d-prime.mp4 34.14 MB
17 - Signal detection theory/003 Code_ d-prime.mp4 69.5 MB
17 - Signal detection theory/004 Response bias.mp4 21.82 MB
17 - Signal detection theory/005 Code_ Response bias.mp4 22.81 MB
17 - Signal detection theory/006 F-score.mp4 107.25 MB
17 - Signal detection theory/007 Receiver operating characteristics (ROC).mp4 64.37 MB
17 - Signal detection theory/008 Code_ ROC curves.mp4 54.62 MB
17 - Signal detection theory/009 _Unsupervised learning__ Make this plot look nicer_.mp4 11.5 MB
18 - A real-world data journey/002 Introduction.mp4 53.02 MB
18 - A real-world data journey/003 MATLAB_ Import and clean the marriage data.mp4 201.29 MB
18 - A real-world data journey/004 MATLAB_ Import the divorce data.mp4 96.29 MB
18 - A real-world data journey/005 MATLAB_ More data visualizations.mp4 34.32 MB
18 - A real-world data journey/006 MATLAB_ Inferential statistics.mp4 113.52 MB
18 - A real-world data journey/007 Python_ Import and clean the marriage data.mp4 249.82 MB
18 - A real-world data journey/008 Python_ Import the divorce data.mp4 137.14 MB
18 - A real-world data journey/009 Python_ Inferential statistics.mp4 115.54 MB
18 - A real-world data journey/010 Take-home messages.mp4 43.8 MB
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