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Master statistics & machine learning: intuition, math, code

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01 - Introductions

001 [Important] Getting the most out of this course.mp4	MP4	38.26 MB
001 [Important] Getting the most out of this course_en.srt	SRT	6.08 KB
001 [Important] Getting the most out of this course_en.vtt	VTT	5.36 KB
002 About using MATLAB or Python.mp4	MP4	27.11 MB
002 About using MATLAB or Python_en.srt	SRT	5.93 KB
002 About using MATLAB or Python_en.vtt	VTT	5.17 KB
003 Statistics guessing game_.mp4	MP4	48.39 MB
003 Statistics guessing game__en.srt	SRT	13.33 KB
003 Statistics guessing game__en.vtt	VTT	11.52 KB
004 Using the Q&A forum.mp4	MP4	24.36 MB
004 Using the Q&A forum_en.srt	SRT	8.13 KB
004 Using the Q&A forum_en.vtt	VTT	7.06 KB
005 (optional) Entering time-stamped notes in the Udemy video player.mp4	MP4	7.06 MB
005 (optional) Entering time-stamped notes in the Udemy video player_en.srt	SRT	3.1 KB
005 (optional) Entering time-stamped notes in the Udemy video player_en.vtt	VTT	2.68 KB
25299297-stats-intro-GuessTheTest.zip	ZIP	3.72 KB

02 - Math prerequisites

001 Should you memorize statistical formulas_.mp4	MP4	28 MB
001 Should you memorize statistical formulas__en.srt	SRT	4.17 KB
001 Should you memorize statistical formulas__en.vtt	VTT	3.69 KB
002 Arithmetic and exponents.mp4	MP4	7.55 MB
002 Arithmetic and exponents_en.srt	SRT	5.63 KB
002 Arithmetic and exponents_en.vtt	VTT	4.94 KB
003 Scientific notation.mp4	MP4	12.87 MB
003 Scientific notation_en.srt	SRT	8.72 KB
003 Scientific notation_en.vtt	VTT	7.48 KB
004 Summation notation.mp4	MP4	7.73 MB
004 Summation notation_en.srt	SRT	6 KB
004 Summation notation_en.vtt	VTT	5.2 KB
005 Absolute value.mp4	MP4	6.92 MB
005 Absolute value_en.srt	SRT	4.18 KB
005 Absolute value_en.vtt	VTT	3.68 KB
006 Natural exponent and logarithm.mp4	MP4	12.18 MB
006 Natural exponent and logarithm_en.srt	SRT	8.05 KB
006 Natural exponent and logarithm_en.vtt	VTT	7 KB
007 The logistic function.mp4	MP4	17.9 MB
007 The logistic function_en.srt	SRT	13.12 KB
007 The logistic function_en.vtt	VTT	11.28 KB
008 Rank and tied-rank.mp4	MP4	12.92 MB
008 Rank and tied-rank_en.srt	SRT	9.55 KB
008 Rank and tied-rank_en.vtt	VTT	8.22 KB

03 - IMPORTANT_ Download course materials

001 Download materials for the entire course_.mp4	MP4	14.46 MB
001 Download materials for the entire course__en.srt	SRT	5.42 KB
001 Download materials for the entire course__en.vtt	VTT	4.77 KB
32684220-statsML.zip	ZIP	1.36 MB

04 - What are (is_) data_

001 Is _data_ singular or plural_______.mp4	MP4	10.92 MB
001 Is _data_ singular or plural________en.srt	SRT	2.33 KB
001 Is _data_ singular or plural________en.vtt	VTT	2.02 KB
002 Where do data come from and what do they mean_.mp4	MP4	35.54 MB
002 Where do data come from and what do they mean__en.srt	SRT	8.4 KB
002 Where do data come from and what do they mean__en.vtt	VTT	7.29 KB
003 Types of data_ categorical, numerical, etc.mp4	MP4	59.37 MB
003 Types of data_ categorical, numerical, etc_en.srt	SRT	20.93 KB
003 Types of data_ categorical, numerical, etc_en.vtt	VTT	18.09 KB
004 Code_ representing types of data on computers.mp4	MP4	47.83 MB
004 Code_ representing types of data on computers_en.srt	SRT	13.09 KB
004 Code_ representing types of data on computers_en.vtt	VTT	11.15 KB
005 Sample vs. population data.mp4	MP4	37.06 MB
005 Sample vs. population data_en.srt	SRT	17.21 KB
005 Sample vs. population data_en.vtt	VTT	14.93 KB
006 Samples, case reports, and anecdotes.mp4	MP4	17.79 MB
006 Samples, case reports, and anecdotes_en.srt	SRT	7.68 KB
006 Samples, case reports, and anecdotes_en.vtt	VTT	6.73 KB
007 The ethics of making up data.mp4	MP4	19.65 MB
007 The ethics of making up data_en.srt	SRT	10.29 KB
007 The ethics of making up data_en.vtt	VTT	8.9 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

05 - Visualizing data

001 Bar plots.mp4	MP4	36.83 MB
001 Bar plots_en.srt	SRT	17.04 KB
001 Bar plots_en.vtt	VTT	15.28 KB
002 Code_ bar plots.mp4	MP4	100.03 MB
002 Code_ bar plots_en.srt	SRT	25.39 KB
002 Code_ bar plots_en.vtt	VTT	22.66 KB
003 Box-and-whisker plots.mp4	MP4	11.12 MB
003 Box-and-whisker plots_en.srt	SRT	7.82 KB
003 Box-and-whisker plots_en.vtt	VTT	6.79 KB
004 Code_ box plots.mp4	MP4	83.65 MB
004 Code_ box plots_en.srt	SRT	12.75 KB
004 Code_ box plots_en.vtt	VTT	10.92 KB
005 _Unsupervised learning__ Boxplots of normal and uniform noise.mp4	MP4	8.24 MB
005 _Unsupervised learning__ Boxplots of normal and uniform noise_en.srt	SRT	3.74 KB
005 _Unsupervised learning__ Boxplots of normal and uniform noise_en.vtt	VTT	3.26 KB
006 Histograms.mp4	MP4	43.73 MB
006 Histograms_en.srt	SRT	15.81 KB
006 Histograms_en.vtt	VTT	13.7 KB
007 Code_ histograms.mp4	MP4	133.49 MB
007 Code_ histograms_en.srt	SRT	24.24 KB
007 Code_ histograms_en.vtt	VTT	20.8 KB
008 _Unsupervised learning__ Histogram proportion.mp4	MP4	11.79 MB
008 _Unsupervised learning__ Histogram proportion_en.srt	SRT	3.4 KB
008 _Unsupervised learning__ Histogram proportion_en.vtt	VTT	2.98 KB
009 Pie charts.mp4	MP4	16.53 MB
009 Pie charts_en.srt	SRT	8.47 KB
009 Pie charts_en.vtt	VTT	7.33 KB
010 Code_ pie charts.mp4	MP4	78.92 MB
010 Code_ pie charts_en.srt	SRT	19.38 KB
010 Code_ pie charts_en.vtt	VTT	16.66 KB
011 When to use lines instead of bars.mp4	MP4	17.98 MB
011 When to use lines instead of bars_en.srt	SRT	8.62 KB
011 When to use lines instead of bars_en.vtt	VTT	7.47 KB
012 Linear vs. logarithmic axis scaling.mp4	MP4	25.64 MB
012 Linear vs. logarithmic axis scaling_en.srt	SRT	12.48 KB
012 Linear vs. logarithmic axis scaling_en.vtt	VTT	10.79 KB
013 Code_ line plots.mp4	MP4	37.29 MB
013 Code_ line plots_en.srt	SRT	10.87 KB
013 Code_ line plots_en.vtt	VTT	9.41 KB
014 _Unsupervised learning__ log-scaled plots.mp4	MP4	3.73 MB
014 _Unsupervised learning__ log-scaled plots_en.srt	SRT	2.47 KB
014 _Unsupervised learning__ log-scaled plots_en.vtt	VTT	2.14 KB

06 - Descriptive statistics

001 Descriptive vs. inferential statistics.mp4	MP4	21.48 MB
001 Descriptive vs. inferential statistics_en.srt	SRT	6.38 KB
001 Descriptive vs. inferential statistics_en.vtt	VTT	5.58 KB
002 Accuracy, precision, resolution.mp4	MP4	25.42 MB
002 Accuracy, precision, resolution_en.srt	SRT	11.39 KB
002 Accuracy, precision, resolution_en.vtt	VTT	9.81 KB
003 Data distributions.mp4	MP4	31.95 MB
003 Data distributions_en.srt	SRT	16.76 KB
003 Data distributions_en.vtt	VTT	14.52 KB
004 Code_ data from different distributions.mp4	MP4	303.11 MB
004 Code_ data from different distributions_en.srt	SRT	45.95 KB
004 Code_ data from different distributions_en.vtt	VTT	39.47 KB
005 _Unsupervised learning__ histograms of distributions.mp4	MP4	10.18 MB
005 _Unsupervised learning__ histograms of distributions_en.srt	SRT	3.06 KB
005 _Unsupervised learning__ histograms of distributions_en.vtt	VTT	2.63 KB
006 The beauty and simplicity of Normal.mp4	MP4	10.23 MB
006 The beauty and simplicity of Normal_en.srt	SRT	7.64 KB
006 The beauty and simplicity of Normal_en.vtt	VTT	6.72 KB
007 Measures of central tendency (mean).mp4	MP4	38.7 MB
007 Measures of central tendency (mean)_en.srt	SRT	18.99 KB
007 Measures of central tendency (mean)_en.vtt	VTT	16.34 KB
008 Measures of central tendency (median, mode).mp4	MP4	34.26 MB
008 Measures of central tendency (median, mode)_en.srt	SRT	18.21 KB
008 Measures of central tendency (median, mode)_en.vtt	VTT	15.71 KB
009 Code_ computing central tendency.mp4	MP4	66.6 MB
009 Code_ computing central tendency_en.srt	SRT	20.14 KB
009 Code_ computing central tendency_en.vtt	VTT	17.41 KB
010 _Unsupervised learning__ central tendencies with outliers.mp4	MP4	16.74 MB
010 _Unsupervised learning__ central tendencies with outliers_en.srt	SRT	4.31 KB
010 _Unsupervised learning__ central tendencies with outliers_en.vtt	VTT	3.78 KB
011 Measures of dispersion (variance, standard deviation).mp4	MP4	54.12 MB
011 Measures of dispersion (variance, standard deviation)_en.srt	SRT	26.26 KB
011 Measures of dispersion (variance, standard deviation)_en.vtt	VTT	22.56 KB
012 Code_ Computing dispersion.mp4	MP4	266.09 MB
012 Code_ Computing dispersion_en.srt	SRT	37.23 KB
012 Code_ Computing dispersion_en.vtt	VTT	32.31 KB
013 Interquartile range (IQR).mp4	MP4	9.84 MB
013 Interquartile range (IQR)_en.srt	SRT	7.01 KB
013 Interquartile range (IQR)_en.vtt	VTT	6.1 KB
014 Code_ IQR.mp4	MP4	83.39 MB
014 Code_ IQR_en.srt	SRT	23.44 KB
014 Code_ IQR_en.vtt	VTT	20.15 KB
015 QQ plots.mp4	MP4	16.22 MB
015 QQ plots_en.srt	SRT	10.18 KB
015 QQ plots_en.vtt	VTT	8.88 KB
016 Code_ QQ plots.mp4	MP4	90.3 MB
016 Code_ QQ plots_en.srt	SRT	23.48 KB
016 Code_ QQ plots_en.vtt	VTT	20.1 KB
017 Statistical _moments_.mp4	MP4	21.68 MB
017 Statistical _moments__en.srt	SRT	13.06 KB
017 Statistical _moments__en.vtt	VTT	11.16 KB
018 Histograms part 2_ Number of bins.mp4	MP4	23.5 MB
018 Histograms part 2_ Number of bins_en.srt	SRT	14.32 KB
018 Histograms part 2_ Number of bins_en.vtt	VTT	12.41 KB
019 Code_ Histogram bins.mp4	MP4	118.12 MB
019 Code_ Histogram bins_en.srt	SRT	17.86 KB
019 Code_ Histogram bins_en.vtt	VTT	15.4 KB
020 Violin plots.mp4	MP4	6.47 MB
020 Violin plots_en.srt	SRT	4.98 KB
020 Violin plots_en.vtt	VTT	4.3 KB
021 Code_ violin plots.mp4	MP4	104.96 MB
021 Code_ violin plots_en.srt	SRT	15.42 KB
021 Code_ violin plots_en.vtt	VTT	13.19 KB
022 _Unsupervised learning__ asymmetric violin plots.mp4	MP4	17.32 MB
022 _Unsupervised learning__ asymmetric violin plots_en.srt	SRT	3.84 KB
022 _Unsupervised learning__ asymmetric violin plots_en.vtt	VTT	3.31 KB
023 Shannon entropy.mp4	MP4	33.05 MB
023 Shannon entropy_en.srt	SRT	15.53 KB
023 Shannon entropy_en.vtt	VTT	13.46 KB
024 Code_ entropy.mp4	MP4	96.76 MB
024 Code_ entropy_en.srt	SRT	30.29 KB
024 Code_ entropy_en.vtt	VTT	25.84 KB
025 _Unsupervised learning__ entropy and number of bins.mp4	MP4	8.25 MB
025 _Unsupervised learning__ entropy and number of bins_en.srt	SRT	2.01 KB
025 _Unsupervised learning__ entropy and number of bins_en.vtt	VTT	1.76 KB

07 - Data normalizations and outliers

001 Garbage in, garbage out (GIGO).mp4	MP4	11.55 MB
001 Garbage in, garbage out (GIGO)_en.srt	SRT	5.69 KB
001 Garbage in, garbage out (GIGO)_en.vtt	VTT	5 KB
002 Z-score standardization.mp4	MP4	36.23 MB
002 Z-score standardization_en.srt	SRT	14.29 KB
002 Z-score standardization_en.vtt	VTT	12.3 KB
003 Code_ z-score.mp4	MP4	66.77 MB
003 Code_ z-score_en.srt	SRT	19.26 KB
003 Code_ z-score_en.vtt	VTT	16.61 KB
004 Min-max scaling.mp4	MP4	11.73 MB
004 Min-max scaling_en.srt	SRT	7.23 KB
004 Min-max scaling_en.vtt	VTT	6.3 KB
005 Code_ min-max scaling.mp4	MP4	40.43 MB
005 Code_ min-max scaling_en.srt	SRT	12.56 KB
005 Code_ min-max scaling_en.vtt	VTT	10.75 KB
006 _Unsupervised learning__ Invert the min-max scaling.mp4	MP4	6.79 MB
006 _Unsupervised learning__ Invert the min-max scaling_en.srt	SRT	3.63 KB
006 _Unsupervised learning__ Invert the min-max scaling_en.vtt	VTT	3.17 KB
007 What are outliers and why are they dangerous_.mp4	MP4	43 MB
007 What are outliers and why are they dangerous__en.srt	SRT	21.54 KB
007 What are outliers and why are they dangerous__en.vtt	VTT	18.52 KB
008 Removing outliers_ z-score method.mp4	MP4	33.51 MB
008 Removing outliers_ z-score method_en.srt	SRT	14.14 KB
008 Removing outliers_ z-score method_en.vtt	VTT	12.21 KB
009 The modified z-score method.mp4	MP4	9.62 MB
009 The modified z-score method_en.srt	SRT	5.9 KB
009 The modified z-score method_en.vtt	VTT	5.12 KB
010 Code_ z-score for outlier removal.mp4	MP4	136.89 MB
010 Code_ z-score for outlier removal_en.srt	SRT	33.64 KB
010 Code_ z-score for outlier removal_en.vtt	VTT	28.78 KB
011 _Unsupervised learning__ z vs. modified-z.mp4	MP4	9.02 MB
011 _Unsupervised learning__ z vs. modified-z_en.srt	SRT	3.84 KB
011 _Unsupervised learning__ z vs. modified-z_en.vtt	VTT	3.36 KB
012 Multivariate outlier detection.mp4	MP4	25.05 MB
012 Multivariate outlier detection_en.srt	SRT	14.35 KB
012 Multivariate outlier detection_en.vtt	VTT	12.28 KB
013 Code_ Euclidean distance for outlier removal.mp4	MP4	43.72 MB
013 Code_ Euclidean distance for outlier removal_en.srt	SRT	12.77 KB
013 Code_ Euclidean distance for outlier removal_en.vtt	VTT	11.04 KB
014 Removing outliers by data trimming.mp4	MP4	16.9 MB
014 Removing outliers by data trimming_en.srt	SRT	8.53 KB
014 Removing outliers by data trimming_en.vtt	VTT	7.4 KB
015 Code_ Data trimming to remove outliers.mp4	MP4	65.29 MB
015 Code_ Data trimming to remove outliers_en.srt	SRT	16.3 KB
015 Code_ Data trimming to remove outliers_en.vtt	VTT	14.05 KB
016 Non-parametric solutions to outliers.mp4	MP4	22.96 MB
016 Non-parametric solutions to outliers_en.srt	SRT	6.34 KB
016 Non-parametric solutions to outliers_en.vtt	VTT	5.57 KB
017 Nonlinear data transformations.mp4	MP4	33.69 MB
017 Nonlinear data transformations_en.srt	SRT	19.8 KB
017 Nonlinear data transformations_en.vtt	VTT	17.38 KB
018 An outlier lecture on personal accountability.mp4	MP4	17.7 MB
018 An outlier lecture on personal accountability_en.srt	SRT	4.12 KB
018 An outlier lecture on personal accountability_en.vtt	VTT	3.65 KB

08 - Probability theory

001 What is probability_.mp4	MP4	41.11 MB
001 What is probability__en.srt	SRT	17.94 KB
001 What is probability__en.vtt	VTT	15.49 KB
002 Probability vs. proportion.mp4	MP4	37.52 MB
002 Probability vs. proportion_en.srt	SRT	14.14 KB
002 Probability vs. proportion_en.vtt	VTT	12.13 KB
003 Computing probabilities.mp4	MP4	37.52 MB
003 Computing probabilities_en.srt	SRT	15.15 KB
003 Computing probabilities_en.vtt	VTT	13.08 KB
004 Code_ compute probabilities.mp4	MP4	148.4 MB
004 Code_ compute probabilities_en.srt	SRT	22.04 KB
004 Code_ compute probabilities_en.vtt	VTT	18.88 KB
005 Probability and odds.mp4	MP4	12.01 MB
005 Probability and odds_en.srt	SRT	6.94 KB
005 Probability and odds_en.vtt	VTT	6.01 KB
006 _Unsupervised learning__ probabilities of odds-space.mp4	MP4	5.92 MB
006 _Unsupervised learning__ probabilities of odds-space_en.srt	SRT	3.14 KB
006 _Unsupervised learning__ probabilities of odds-space_en.vtt	VTT	2.76 KB
007 Probability mass vs. density.mp4	MP4	134.14 MB
007 Probability mass vs. density_en.srt	SRT	18.42 KB
007 Probability mass vs. density_en.vtt	VTT	15.95 KB
008 Code_ compute probability mass functions.mp4	MP4	66.17 MB
008 Code_ compute probability mass functions_en.srt	SRT	16.01 KB
008 Code_ compute probability mass functions_en.vtt	VTT	14.03 KB
009 Cumulative distribution functions.mp4	MP4	45.41 MB
009 Cumulative distribution functions_en.srt	SRT	20.37 KB
009 Cumulative distribution functions_en.vtt	VTT	17.73 KB
010 Code_ cdfs and pdfs.mp4	MP4	95.94 MB
010 Code_ cdfs and pdfs_en.srt	SRT	14.49 KB
010 Code_ cdfs and pdfs_en.vtt	VTT	12.56 KB
011 _Unsupervised learning__ cdf's for various distributions.mp4	MP4	9.31 MB
011 _Unsupervised learning__ cdf's for various distributions_en.srt	SRT	3.32 KB
011 _Unsupervised learning__ cdf's for various distributions_en.vtt	VTT	2.94 KB
012 Creating sample estimate distributions.mp4	MP4	124.85 MB
012 Creating sample estimate distributions_en.srt	SRT	27.73 KB
012 Creating sample estimate distributions_en.vtt	VTT	23.83 KB
013 Monte Carlo sampling.mp4	MP4	8.83 MB
013 Monte Carlo sampling_en.srt	SRT	3.82 KB
013 Monte Carlo sampling_en.vtt	VTT	3.35 KB
014 Sampling variability, noise, and other annoyances.mp4	MP4	106.08 MB
014 Sampling variability, noise, and other annoyances_en.srt	SRT	13.06 KB
014 Sampling variability, noise, and other annoyances_en.vtt	VTT	11.37 KB
015 Code_ sampling variability.mp4	MP4	154.75 MB
015 Code_ sampling variability_en.srt	SRT	38.25 KB
015 Code_ sampling variability_en.vtt	VTT	32.9 KB
016 Expected value.mp4	MP4	59.63 MB
016 Expected value_en.srt	SRT	15.37 KB
016 Expected value_en.vtt	VTT	13.21 KB
017 Conditional probability.mp4	MP4	85.68 MB
017 Conditional probability_en.srt	SRT	18.81 KB
017 Conditional probability_en.vtt	VTT	16.12 KB
018 Code_ conditional probabilities.mp4	MP4	115.08 MB
018 Code_ conditional probabilities_en.srt	SRT	29.61 KB
018 Code_ conditional probabilities_en.vtt	VTT	25.37 KB
019 Tree diagrams for conditional probabilities.mp4	MP4	13.5 MB
019 Tree diagrams for conditional probabilities_en.srt	SRT	9.92 KB
019 Tree diagrams for conditional probabilities_en.vtt	VTT	8.57 KB
020 The Law of Large Numbers.mp4	MP4	40.55 MB
020 The Law of Large Numbers_en.srt	SRT	14.41 KB
020 The Law of Large Numbers_en.vtt	VTT	12.47 KB
021 Code_ Law of Large Numbers in action.mp4	MP4	165.6 MB
021 Code_ Law of Large Numbers in action_en.srt	SRT	27.83 KB
021 Code_ Law of Large Numbers in action_en.vtt	VTT	23.84 KB
022 The Central Limit Theorem.mp4	MP4	26.67 MB
022 The Central Limit Theorem_en.srt	SRT	15.56 KB
022 The Central Limit Theorem_en.vtt	VTT	13.52 KB
023 Code_ the CLT in action.mp4	MP4	93.32 MB
023 Code_ the CLT in action_en.srt	SRT	23.58 KB
023 Code_ the CLT in action_en.vtt	VTT	20.3 KB
024 _Unsupervised learning__ Averaging pairs of numbers.mp4	MP4	9.48 MB
024 _Unsupervised learning__ Averaging pairs of numbers_en.srt	SRT	3.19 KB
024 _Unsupervised learning__ Averaging pairs of numbers_en.vtt	VTT	2.76 KB

09 - Hypothesis testing

001 IVs, DVs, models, and other stats lingo.mp4	MP4	91.14 MB
001 IVs, DVs, models, and other stats lingo_en.srt	SRT	24.3 KB
001 IVs, DVs, models, and other stats lingo_en.vtt	VTT	20.93 KB
002 What is an hypothesis and how do you specify one_.mp4	MP4	49.12 MB
002 What is an hypothesis and how do you specify one__en.srt	SRT	23.28 KB
002 What is an hypothesis and how do you specify one__en.vtt	VTT	19.71 KB
003 Sample distributions under null and alternative hypotheses.mp4	MP4	43.75 MB
003 Sample distributions under null and alternative hypotheses_en.srt	SRT	14.68 KB
003 Sample distributions under null and alternative hypotheses_en.vtt	VTT	12.79 KB
004 P-values_ definition, tails, and misinterpretations.mp4	MP4	106.47 MB
004 P-values_ definition, tails, and misinterpretations_en.srt	SRT	25.43 KB
004 P-values_ definition, tails, and misinterpretations_en.vtt	VTT	22.25 KB
005 P-z combinations that you should memorize.mp4	MP4	17.32 MB
005 P-z combinations that you should memorize_en.srt	SRT	9.04 KB
005 P-z combinations that you should memorize_en.vtt	VTT	7.89 KB
006 Degrees of freedom.mp4	MP4	32.9 MB
006 Degrees of freedom_en.srt	SRT	2.6 KB
006 Degrees of freedom_en.vtt	VTT	16 KB
007 Type 1 and Type 2 errors.mp4	MP4	45.9 MB
007 Type 1 and Type 2 errors_en.srt	SRT	22.2 KB
007 Type 1 and Type 2 errors_en.vtt	VTT	19.01 KB
008 Parametric vs. non-parametric tests.mp4	MP4	87.45 MB
008 Parametric vs. non-parametric tests_en.srt	SRT	12.87 KB
008 Parametric vs. non-parametric tests_en.vtt	VTT	11.3 KB
009 Multiple comparisons and Bonferroni correction.mp4	MP4	29.56 MB
009 Multiple comparisons and Bonferroni correction_en.srt	SRT	12.5 KB
009 Multiple comparisons and Bonferroni correction_en.vtt	VTT	10.79 KB
010 Statistical vs. theoretical vs. clinical significance.mp4	MP4	19.08 MB
010 Statistical vs. theoretical vs. clinical significance_en.srt	SRT	9.98 KB
010 Statistical vs. theoretical vs. clinical significance_en.vtt	VTT	8.64 KB
011 Cross-validation.mp4	MP4	28.25 MB
011 Cross-validation_en.srt	SRT	16.44 KB
011 Cross-validation_en.vtt	VTT	14.32 KB
012 Statistical significance vs. classification accuracy.mp4	MP4	42.5 MB
012 Statistical significance vs. classification accuracy_en.srt	SRT	17.02 KB
012 Statistical significance vs. classification accuracy_en.vtt	VTT	14.68 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

10 - The t-test family

001 Purpose and interpretation of the t-test.mp4	MP4	32.16 MB
001 Purpose and interpretation of the t-test_en.srt	SRT	18.92 KB
001 Purpose and interpretation of the t-test_en.vtt	VTT	16.41 KB
002 One-sample t-test.mp4	MP4	53.95 MB
002 One-sample t-test_en.srt	SRT	11.59 KB
002 One-sample t-test_en.vtt	VTT	10.04 KB
003 Code_ One-sample t-test.mp4	MP4	157.96 MB
003 Code_ One-sample t-test_en.srt	SRT	31.24 KB
003 Code_ One-sample t-test_en.vtt	VTT	26.62 KB
004 _Unsupervised learning__ The role of variance.mp4	MP4	28.65 MB
004 _Unsupervised learning__ The role of variance_en.srt	SRT	4.11 KB
004 _Unsupervised learning__ The role of variance_en.vtt	VTT	3.58 KB
005 Two-samples t-test.mp4	MP4	93.81 MB
005 Two-samples t-test_en.srt	SRT	18.97 KB
005 Two-samples t-test_en.vtt	VTT	16.4 KB
006 Code_ Two-samples t-test.mp4	MP4	211.35 MB
006 Code_ Two-samples t-test_en.srt	SRT	32.17 KB
006 Code_ Two-samples t-test_en.vtt	VTT	27.56 KB
007 _Unsupervised learning__ Importance of N for t-test.mp4	MP4	16.77 MB
007 _Unsupervised learning__ Importance of N for t-test_en.srt	SRT	6.85 KB
007 _Unsupervised learning__ Importance of N for t-test_en.vtt	VTT	5.94 KB
008 Wilcoxon signed-rank (nonparametric t-test).mp4	MP4	25.98 MB
008 Wilcoxon signed-rank (nonparametric t-test)_en.srt	SRT	10.43 KB
008 Wilcoxon signed-rank (nonparametric t-test)_en.vtt	VTT	9.09 KB
009 Code_ Signed-rank test.mp4	MP4	161.85 MB
009 Code_ Signed-rank test_en.srt	SRT	26.9 KB
009 Code_ Signed-rank test_en.vtt	VTT	23.02 KB
010 Mann-Whitney U test (nonparametric t-test).mp4	MP4	20.32 MB
010 Mann-Whitney U test (nonparametric t-test)_en.srt	SRT	8.84 KB
010 Mann-Whitney U test (nonparametric t-test)_en.vtt	VTT	7.66 KB
011 Code_ Mann-Whitney U test.mp4	MP4	52.05 MB
011 Code_ Mann-Whitney U test_en.srt	SRT	7.75 KB
011 Code_ Mann-Whitney U test_en.vtt	VTT	6.7 KB
012 Permutation testing for t-test significance.mp4	MP4	63.48 MB
012 Permutation testing for t-test significance_en.srt	SRT	16.36 KB
012 Permutation testing for t-test significance_en.vtt	VTT	14.2 KB
013 Code_ permutation testing.mp4	MP4	240.9 MB
013 Code_ permutation testing_en.srt	SRT	37.1 KB
013 Code_ permutation testing_en.vtt	VTT	31.77 KB
014 _Unsupervised learning__ How many permutations_.mp4	MP4	32.5 MB
014 _Unsupervised learning__ How many permutations__en.srt	SRT	7.74 KB
014 _Unsupervised learning__ How many permutations__en.vtt	VTT	6.73 KB

11 - Confidence intervals on parameters

001 What are confidence intervals and why do we need them_.mp4	MP4	29.83 MB
001 What are confidence intervals and why do we need them__en.srt	SRT	13.12 KB
001 What are confidence intervals and why do we need them__en.vtt	VTT	11.33 KB
002 Computing confidence intervals via formula.mp4	MP4	17.33 MB
002 Computing confidence intervals via formula_en.srt	SRT	9.42 KB
002 Computing confidence intervals via formula_en.vtt	VTT	8.22 KB
003 Code_ compute confidence intervals by formula.mp4	MP4	94.29 MB
003 Code_ compute confidence intervals by formula_en.srt	SRT	25.68 KB
003 Code_ compute confidence intervals by formula_en.vtt	VTT	22.06 KB
004 Confidence intervals via bootstrapping (resampling).mp4	MP4	54.27 MB
004 Confidence intervals via bootstrapping (resampling)_en.srt	SRT	12.83 KB
004 Confidence intervals via bootstrapping (resampling)_en.vtt	VTT	11.18 KB
005 Code_ bootstrapping confidence intervals.mp4	MP4	136.71 MB
005 Code_ bootstrapping confidence intervals_en.srt	SRT	21.66 KB
005 Code_ bootstrapping confidence intervals_en.vtt	VTT	18.41 KB
006 _Unsupervised learning__ Confidence intervals for variance.mp4	MP4	8.54 MB
006 _Unsupervised learning__ Confidence intervals for variance_en.srt	SRT	1.89 KB
006 _Unsupervised learning__ Confidence intervals for variance_en.vtt	VTT	1.68 KB
007 Misconceptions about confidence intervals.mp4	MP4	18.6 MB
007 Misconceptions about confidence intervals_en.srt	SRT	9.08 KB
007 Misconceptions about confidence intervals_en.vtt	VTT	7.91 KB

12 - Correlation

001 Motivation and description of correlation.mp4	MP4	118.43 MB
001 Motivation and description of correlation_en.srt	SRT	27.37 KB
001 Motivation and description of correlation_en.vtt	VTT	23.58 KB
002 Covariance and correlation_ formulas.mp4	MP4	41.85 MB
002 Covariance and correlation_ formulas_en.srt	SRT	20.8 KB
002 Covariance and correlation_ formulas_en.vtt	VTT	17.86 KB
003 Code_ correlation coefficient.mp4	MP4	214.14 MB
003 Code_ correlation coefficient_en.srt	SRT	40.44 KB
003 Code_ correlation coefficient_en.vtt	VTT	34.65 KB
004 Code_ Simulate data with specified correlation.mp4	MP4	70.12 MB
004 Code_ Simulate data with specified correlation_en.srt	SRT	20.03 KB
004 Code_ Simulate data with specified correlation_en.vtt	VTT	17.33 KB
005 Correlation matrix.mp4	MP4	30.96 MB
005 Correlation matrix_en.srt	SRT	13.6 KB
005 Correlation matrix_en.vtt	VTT	11.72 KB
006 Code_ correlation matrix.mp4	MP4	282.48 MB
006 Code_ correlation matrix_en.srt	SRT	31.87 KB
006 Code_ correlation matrix_en.vtt	VTT	27.17 KB
007 _Unsupervised learning__ average correlation matrices.mp4	MP4	18.49 MB
007 _Unsupervised learning__ average correlation matrices_en.srt	SRT	4.07 KB
007 _Unsupervised learning__ average correlation matrices_en.vtt	VTT	3.57 KB
008 _Unsupervised learning__ correlation to covariance matrix.mp4	MP4	10.13 MB
008 _Unsupervised learning__ correlation to covariance matrix_en.srt	SRT	5.81 KB
008 _Unsupervised learning__ correlation to covariance matrix_en.vtt	VTT	5.12 KB
009 Partial correlation.mp4	MP4	59.34 MB
009 Partial correlation_en.srt	SRT	15.42 KB
009 Partial correlation_en.vtt	VTT	13.36 KB
010 Code_ partial correlation.mp4	MP4	108.27 MB
010 Code_ partial correlation_en.srt	SRT	29.41 KB
010 Code_ partial correlation_en.vtt	VTT	25.23 KB
011 The problem with Pearson.mp4	MP4	16.57 MB
011 The problem with Pearson_en.srt	SRT	9.89 KB
011 The problem with Pearson_en.vtt	VTT	8.65 KB
012 Nonparametric correlation_ Spearman rank.mp4	MP4	23.72 MB
012 Nonparametric correlation_ Spearman rank_en.srt	SRT	10.73 KB
012 Nonparametric correlation_ Spearman rank_en.vtt	VTT	9.3 KB
013 Fisher-Z transformation for correlations.mp4	MP4	28.48 MB
013 Fisher-Z transformation for correlations_en.srt	SRT	9.87 KB
013 Fisher-Z transformation for correlations_en.vtt	VTT	8.63 KB
014 Code_ Spearman correlation and Fisher-Z.mp4	MP4	42.71 MB
014 Code_ Spearman correlation and Fisher-Z_en.srt	SRT	11.1 KB
014 Code_ Spearman correlation and Fisher-Z_en.vtt	VTT	9.61 KB
015 _Unsupervised learning__ Spearman correlation.mp4	MP4	15.95 MB
015 _Unsupervised learning__ Spearman correlation_en.srt	SRT	1.86 KB
015 _Unsupervised learning__ Spearman correlation_en.vtt	VTT	1.64 KB
016 _Unsupervised learning__ confidence interval on correlation.mp4	MP4	10.31 MB
016 _Unsupervised learning__ confidence interval on correlation_en.srt	SRT	3.32 KB
016 _Unsupervised learning__ confidence interval on correlation_en.vtt	VTT	2.93 KB
017 Kendall's correlation for ordinal data.mp4	MP4	30.15 MB
017 Kendall's correlation for ordinal data_en.srt	SRT	15.22 KB
017 Kendall's correlation for ordinal data_en.vtt	VTT	13.13 KB
018 Code_ Kendall correlation.mp4	MP4	184.22 MB
018 Code_ Kendall correlation_en.srt	SRT	17.59 KB
018 Code_ Kendall correlation_en.vtt	VTT	22.96 KB
019 _Unsupervised learning__ Does Kendall vs. Pearson matter_.mp4	MP4	14.95 MB
019 _Unsupervised learning__ Does Kendall vs. Pearson matter__en.srt	SRT	3.31 KB
019 _Unsupervised learning__ Does Kendall vs. Pearson matter__en.vtt	VTT	2.95 KB
020 The subgroups correlation paradox.mp4	MP4	21.57 MB
020 The subgroups correlation paradox_en.srt	SRT	6.98 KB
020 The subgroups correlation paradox_en.vtt	VTT	6.13 KB
021 Cosine similarity.mp4	MP4	14.2 MB
021 Cosine similarity_en.srt	SRT	7.49 KB
021 Cosine similarity_en.vtt	VTT	6.54 KB
022 Code_ Cosine similarity vs. Pearson correlation.mp4	MP4	102.19 MB
022 Code_ Cosine similarity vs. Pearson correlation_en.srt	SRT	31.27 KB
022 Code_ Cosine similarity vs. Pearson correlation_en.vtt	VTT	26.93 KB

13 - Analysis of Variance (ANOVA)

001 ANOVA intro, part1.mp4	MP4	137.72 MB
001 ANOVA intro, part1_en.srt	SRT	26.2 KB
001 ANOVA intro, part1_en.vtt	VTT	22.63 KB
002 ANOVA intro, part 2.mp4	MP4	84.25 MB
002 ANOVA intro, part 2_en.srt	SRT	28.45 KB
002 ANOVA intro, part 2_en.vtt	VTT	24.57 KB
003 Sum of squares.mp4	MP4	45.88 MB
003 Sum of squares_en.srt	SRT	25.6 KB
003 Sum of squares_en.vtt	VTT	22.32 KB
004 The F-test and the ANOVA table.mp4	MP4	19.9 MB
004 The F-test and the ANOVA table_en.srt	SRT	10.47 KB
004 The F-test and the ANOVA table_en.vtt	VTT	9.18 KB
005 The omnibus F-test and post-hoc comparisons.mp4	MP4	63.36 MB
005 The omnibus F-test and post-hoc comparisons_en.srt	SRT	18.85 KB
005 The omnibus F-test and post-hoc comparisons_en.vtt	VTT	16.24 KB
006 The two-way ANOVA.mp4	MP4	104.39 MB
006 The two-way ANOVA_en.srt	SRT	29.37 KB
006 The two-way ANOVA_en.vtt	VTT	25.18 KB
007 One-way ANOVA example.mp4	MP4	44.32 MB
007 One-way ANOVA example_en.srt	SRT	20.6 KB
007 One-way ANOVA example_en.vtt	VTT	17.68 KB
008 Code_ One-way ANOVA (independent samples).mp4	MP4	172.72 MB
008 Code_ One-way ANOVA (independent samples)_en.srt	SRT	25.72 KB
008 Code_ One-way ANOVA (independent samples)_en.vtt	VTT	21.93 KB
009 Code_ One-way repeated-measures ANOVA.mp4	MP4	73.1 MB
009 Code_ One-way repeated-measures ANOVA_en.srt	SRT	18.38 KB
009 Code_ One-way repeated-measures ANOVA_en.vtt	VTT	15.87 KB
010 Two-way ANOVA example.mp4	MP4	35.95 MB
010 Two-way ANOVA example_en.srt	SRT	16.08 KB
010 Two-way ANOVA example_en.vtt	VTT	14 KB
011 Code_ Two-way mixed ANOVA.mp4	MP4	114.16 MB
011 Code_ Two-way mixed ANOVA_en.srt	SRT	21.44 KB
011 Code_ Two-way mixed ANOVA_en.vtt	VTT	18.37 KB

14 - Regression

001 Introduction to GLM _ regression.mp4	MP4	61.97 MB
001 Introduction to GLM _ regression_en.srt	SRT	29.73 KB
001 Introduction to GLM _ regression_en.vtt	VTT	25.51 KB
002 Least-squares solution to the GLM.mp4	MP4	41.41 MB
002 Least-squares solution to the GLM_en.srt	SRT	14.33 KB
002 Least-squares solution to the GLM_en.vtt	VTT	12.35 KB
003 Evaluating regression models_ R2 and F.mp4	MP4	38.06 MB
003 Evaluating regression models_ R2 and F_en.srt	SRT	23.82 KB
003 Evaluating regression models_ R2 and F_en.vtt	VTT	20.49 KB
004 Simple regression.mp4	MP4	36.77 MB
004 Simple regression_en.srt	SRT	19.71 KB
004 Simple regression_en.vtt	VTT	16.98 KB
005 Code_ simple regression.mp4	MP4	52.29 MB
005 Code_ simple regression_en.srt	SRT	13.43 KB
005 Code_ simple regression_en.vtt	VTT	11.54 KB
006 _Unsupervised learning__ Compute R2 and F.mp4	MP4	5.38 MB
006 _Unsupervised learning__ Compute R2 and F_en.srt	SRT	1.44 KB
006 _Unsupervised learning__ Compute R2 and F_en.vtt	VTT	1.28 KB
007 Multiple regression.mp4	MP4	45.14 MB
007 Multiple regression_en.srt	SRT	19.12 KB
007 Multiple regression_en.vtt	VTT	16.47 KB
008 Standardizing regression coefficients.mp4	MP4	75.19 MB
008 Standardizing regression coefficients_en.srt	SRT	18.34 KB
008 Standardizing regression coefficients_en.vtt	VTT	15.73 KB
009 Code_ Multiple regression.mp4	MP4	170.95 MB
009 Code_ Multiple regression_en.srt	SRT	27.91 KB
009 Code_ Multiple regression_en.vtt	VTT	23.9 KB
010 Polynomial regression models.mp4	MP4	48.15 MB
010 Polynomial regression models_en.srt	SRT	12.22 KB
010 Polynomial regression models_en.vtt	VTT	10.65 KB
011 Code_ polynomial modeling.mp4	MP4	129.08 MB
011 Code_ polynomial modeling_en.srt	SRT	22.44 KB
011 Code_ polynomial modeling_en.vtt	VTT	19.3 KB
012 _Unsupervised learning__ Polynomial design matrix.mp4	MP4	4.74 MB
012 _Unsupervised learning__ Polynomial design matrix_en.srt	SRT	1.11 KB
012 _Unsupervised learning__ Polynomial design matrix_en.vtt	VTT	1010 B
013 Logistic regression.mp4	MP4	52.7 MB
013 Logistic regression_en.srt	SRT	25.46 KB
013 Logistic regression_en.vtt	VTT	21.81 KB
014 Code_ Logistic regression.mp4	MP4	81.23 MB
014 Code_ Logistic regression_en.srt	SRT	14.18 KB
014 Code_ Logistic regression_en.vtt	VTT	12.14 KB
015 Under- and over-fitting.mp4	MP4	120.86 MB
015 Under- and over-fitting_en.srt	SRT	25.37 KB
015 Under- and over-fitting_en.vtt	VTT	21.71 KB
016 _Unsupervised learning__ Overfit data.mp4	MP4	4.82 MB
016 _Unsupervised learning__ Overfit data_en.srt	SRT	2.69 KB
016 _Unsupervised learning__ Overfit data_en.vtt	VTT	2.36 KB
017 Comparing _nested_ models.mp4	MP4	39.07 MB
017 Comparing _nested_ models_en.srt	SRT	17.28 KB
017 Comparing _nested_ models_en.vtt	VTT	15.11 KB
018 What to do about missing data.mp4	MP4	16.05 MB
018 What to do about missing data_en.srt	SRT	9.59 KB
018 What to do about missing data_en.vtt	VTT	8.36 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

15 - Statistical power and sample sizes

001 What is statistical power and why is it important_.mp4	MP4	39.53 MB
001 What is statistical power and why is it important__en.srt	SRT	14.33 KB
001 What is statistical power and why is it important__en.vtt	VTT	12.5 KB
002 Estimating statistical power and sample size.mp4	MP4	36.16 MB
002 Estimating statistical power and sample size_en.srt	SRT	16.57 KB
002 Estimating statistical power and sample size_en.vtt	VTT	14.35 KB
003 Compute power and sample size using G_Power.mp4	MP4	31.2 MB
003 Compute power and sample size using G_Power_en.srt	SRT	6.82 KB
003 Compute power and sample size using G_Power_en.vtt	VTT	5.8 KB

16 - Clustering and dimension-reduction

001 K-means clustering.mp4	MP4	54.29 MB
001 K-means clustering_en.srt	SRT	21.01 KB
001 K-means clustering_en.vtt	VTT	18.08 KB
002 Code_ k-means clustering.mp4	MP4	230.34 MB
002 Code_ k-means clustering_en.srt	SRT	34.34 KB
002 Code_ k-means clustering_en.vtt	VTT	29.39 KB
003 _Unsupervised learning__ K-means and normalization.mp4	MP4	12.91 MB
003 _Unsupervised learning__ K-means and normalization_en.srt	SRT	2.48 KB
003 _Unsupervised learning__ K-means and normalization_en.vtt	VTT	2.19 KB
004 _Unsupervised learning__ K-means on a Gauss blur.mp4	MP4	7.94 MB
004 _Unsupervised learning__ K-means on a Gauss blur_en.srt	SRT	2 KB
004 _Unsupervised learning__ K-means on a Gauss blur_en.vtt	VTT	1.75 KB
005 Clustering via dbscan.mp4	MP4	100.3 MB
005 Clustering via dbscan_en.srt	SRT	21.67 KB
005 Clustering via dbscan_en.vtt	VTT	18.65 KB
006 Code_ dbscan.mp4	MP4	288.12 MB
006 Code_ dbscan_en.srt	SRT	49.38 KB
006 Code_ dbscan_en.vtt	VTT	42.2 KB
007 _Unsupervised learning__ dbscan vs. k-means.mp4	MP4	19.94 MB
007 _Unsupervised learning__ dbscan vs. k-means_en.srt	SRT	4.43 KB
007 _Unsupervised learning__ dbscan vs. k-means_en.vtt	VTT	3.88 KB
008 K-nearest neighbor classification.mp4	MP4	12.47 MB
008 K-nearest neighbor classification_en.srt	SRT	8.99 KB
008 K-nearest neighbor classification_en.vtt	VTT	7.84 KB
009 Code_ KNN.mp4	MP4	108.34 MB
009 Code_ KNN_en.srt	SRT	18.21 KB
009 Code_ KNN_en.vtt	VTT	15.49 KB
010 Principal components analysis (PCA).mp4	MP4	42.56 MB
010 Principal components analysis (PCA)_en.srt	SRT	23.28 KB
010 Principal components analysis (PCA)_en.vtt	VTT	20.26 KB
011 Code_ PCA.mp4	MP4	175.1 MB
011 Code_ PCA_en.srt	SRT	26.52 KB
011 Code_ PCA_en.vtt	VTT	22.6 KB
012 _Unsupervised learning__ K-means on PC data.mp4	MP4	11.52 MB
012 _Unsupervised learning__ K-means on PC data_en.srt	SRT	2.21 KB
012 _Unsupervised learning__ K-means on PC data_en.vtt	VTT	1.95 KB
013 Independent components analysis (ICA).mp4	MP4	45.52 MB
013 Independent components analysis (ICA)_en.srt	SRT	17.25 KB
013 Independent components analysis (ICA)_en.vtt	VTT	15.07 KB
014 Code_ ICA.mp4	MP4	73.36 MB
014 Code_ ICA_en.srt	SRT	18.44 KB
014 Code_ ICA_en.vtt	VTT	15.9 KB

17 - Signal detection theory

001 The two perspectives of the world.mp4	MP4	13.91 MB
001 The two perspectives of the world_en.srt	SRT	8.71 KB
001 The two perspectives of the world_en.vtt	VTT	7.52 KB
002 d-prime.mp4	MP4	34.14 MB
002 d-prime_en.srt	SRT	19.21 KB
002 d-prime_en.vtt	VTT	16.45 KB
003 Code_ d-prime.mp4	MP4	69.5 MB
003 Code_ d-prime_en.srt	SRT	21.85 KB
003 Code_ d-prime_en.vtt	VTT	18.77 KB
004 Response bias.mp4	MP4	21.82 MB
004 Response bias_en.srt	SRT	12.25 KB
004 Response bias_en.vtt	VTT	10.56 KB
005 Code_ Response bias.mp4	MP4	22.81 MB
005 Code_ Response bias_en.srt	SRT	6.35 KB
005 Code_ Response bias_en.vtt	VTT	5.49 KB
006 F-score.mp4	MP4	107.25 MB
006 F-score_en.srt	SRT	33.08 KB
006 F-score_en.vtt	VTT	28.75 KB
007 Receiver operating characteristics (ROC).mp4	MP4	64.37 MB
007 Receiver operating characteristics (ROC)_en.srt	SRT	10.95 KB
007 Receiver operating characteristics (ROC)_en.vtt	VTT	9.58 KB
008 Code_ ROC curves.mp4	MP4	54.62 MB
008 Code_ ROC curves_en.srt	SRT	11.67 KB
008 Code_ ROC curves_en.vtt	VTT	10.14 KB
009 _Unsupervised learning__ Make this plot look nicer_.mp4	MP4	11.5 MB
009 _Unsupervised learning__ Make this plot look nicer__en.srt	SRT	2.35 KB
009 _Unsupervised learning__ Make this plot look nicer__en.vtt	VTT	2.06 KB

18 - A real-world data journey

001 Note about the code for this section.html	HTML	135 B
002 Introduction.mp4	MP4	53.02 MB
002 Introduction_en.srt	SRT	6.23 KB
002 Introduction_en.vtt	VTT	5.44 KB
003 MATLAB_ Import and clean the marriage data.mp4	MP4	201.29 MB
003 MATLAB_ Import and clean the marriage data_en.srt	SRT	23.57 KB
003 MATLAB_ Import and clean the marriage data_en.vtt	VTT	20.52 KB
004 MATLAB_ Import the divorce data.mp4	MP4	96.29 MB
004 MATLAB_ Import the divorce data_en.srt	SRT	12.31 KB
004 MATLAB_ Import the divorce data_en.vtt	VTT	10.65 KB
005 MATLAB_ More data visualizations.mp4	MP4	34.32 MB
005 MATLAB_ More data visualizations_en.srt	SRT	9.26 KB
005 MATLAB_ More data visualizations_en.vtt	VTT	8.16 KB
006 MATLAB_ Inferential statistics.mp4	MP4	113.52 MB
006 MATLAB_ Inferential statistics_en.srt	SRT	15.3 KB
006 MATLAB_ Inferential statistics_en.vtt	VTT	13.35 KB
007 Python_ Import and clean the marriage data.mp4	MP4	249.82 MB
007 Python_ Import and clean the marriage data_en.srt	SRT	29.28 KB
007 Python_ Import and clean the marriage data_en.vtt	VTT	25.48 KB
008 Python_ Import the divorce data.mp4	MP4	137.14 MB
008 Python_ Import the divorce data_en.srt	SRT	18.53 KB
008 Python_ Import the divorce data_en.vtt	VTT	16.08 KB
009 Python_ Inferential statistics.mp4	MP4	115.54 MB
009 Python_ Inferential statistics_en.srt	SRT	16.08 KB
009 Python_ Inferential statistics_en.vtt	VTT	14.05 KB
010 Take-home messages.mp4	MP4	43.8 MB
010 Take-home messages_en.srt	SRT	8.72 KB
010 Take-home messages_en.vtt	VTT	7.6 KB
35855730-state-marriage-rates-90-95-99-19.xlsx	XLSX	23.64 KB
35855734-state-divorce-rates-90-95-99-19.xlsx	XLSX	22.47 KB

19 - Bonus section

	001 About deep learning.html	HTML	619 B
	002 Bonus content.html	HTML	3.64 KB

Download Paid Udemy Courses For Free.url

URL

116 B

GetFreeCourses.Co.url

URL

116 B

How you can help GetFreeCourses.Co.txt

TXT

182 B

Description

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