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Udemy - Master statistics & machine learning intuition, math, code (3.2025)

File list

  • 06. Descriptive statistics/4. Code data from different distributions.mp4-303.12 MB
  • 16. Clustering and dimension-reduction/6. Code dbscan.mp4-288.13 MB
  • 12. Correlation/6. Code correlation matrix.mp4-282.48 MB
  • 06. Descriptive statistics/12. Code Computing dispersion.mp4-266.1 MB
  • 18. A real-world data journey/7. Python Import and clean the marriage data.mp4-249.82 MB
  • 10. The t-test family/13. Code permutation testing.mp4-240.9 MB
  • 16. Clustering and dimension-reduction/2. Code k-means clustering.mp4-230.34 MB
  • 12. Correlation/3. Code correlation coefficient.mp4-214.14 MB
  • 10. The t-test family/6. Code Two-samples t-test.mp4-211.35 MB
  • 18. A real-world data journey/3. MATLAB Import and clean the marriage data.mp4-201.3 MB
  • 12. Correlation/18. Code Kendall correlation.mp4-184.22 MB
  • 16. Clustering and dimension-reduction/11. Code PCA.mp4-175.1 MB
  • 13. Analysis of Variance (ANOVA)/8. Code One-way ANOVA (independent samples).mp4-172.72 MB
  • 14. Regression/9. Code Multiple regression.mp4-170.95 MB
  • 08. Probability theory/21. Code Law of Large Numbers in action.mp4-165.61 MB
  • 10. The t-test family/9. Code Signed-rank test.mp4-161.85 MB
  • 10. The t-test family/3. Code One-sample t-test.mp4-157.96 MB
  • 08. Probability theory/15. Code sampling variability.mp4-154.75 MB
  • 08. Probability theory/4. Code compute probabilities.mp4-148.4 MB
  • 13. Analysis of Variance (ANOVA)/1. ANOVA intro, part1.mp4-137.72 MB
  • 18. A real-world data journey/8. Python Import the divorce data.mp4-137.14 MB
  • 07. Data normalizations and outliers/10. Code z-score for outlier removal.mp4-136.9 MB
  • 11. Confidence intervals on parameters/5. Code bootstrapping confidence intervals.mp4-136.71 MB
  • 08. Probability theory/7. Probability mass vs. density.mp4-134.14 MB
  • 05. Visualizing data/7. Code histograms.mp4-133.49 MB
  • 13. Analysis of Variance (ANOVA)/6. The two-way ANOVA.mp4-130.53 MB
  • 14. Regression/11. Code polynomial modeling.mp4-129.08 MB
  • 08. Probability theory/12. Creating sample estimate distributions.mp4-124.85 MB
  • 14. Regression/15. Under- and over-fitting.mp4-120.86 MB
  • 12. Correlation/1. Motivation and description of correlation.mp4-118.43 MB
  • 06. Descriptive statistics/19. Code Histogram bins.mp4-118.12 MB
  • 18. A real-world data journey/9. Python Inferential statistics.mp4-115.54 MB
  • 08. Probability theory/18. Code conditional probabilities.mp4-115.09 MB
  • 13. Analysis of Variance (ANOVA)/11. Code Two-way mixed ANOVA.mp4-114.16 MB
  • 18. A real-world data journey/6. MATLAB Inferential statistics.mp4-113.52 MB
  • 16. Clustering and dimension-reduction/9. Code KNN.mp4-108.34 MB
  • 12. Correlation/10. Code partial correlation.mp4-108.27 MB
  • 17. Signal detection theory/6. F-score.mp4-107.26 MB
  • 09. Hypothesis testing/4. P-values definition, tails, and misinterpretations.mp4-106.47 MB
  • 08. Probability theory/14. Sampling variability, noise, and other annoyances.mp4-106.08 MB
  • 06. Descriptive statistics/21. Code violin plots.mp4-104.96 MB
  • 12. Correlation/22. Code Cosine similarity vs. Pearson correlation.mp4-102.19 MB
  • 16. Clustering and dimension-reduction/5. Clustering via dbscan.mp4-100.3 MB
  • 05. Visualizing data/2. Code bar plots.mp4-100.03 MB
  • 06. Descriptive statistics/24. Code entropy.mp4-96.76 MB
  • 18. A real-world data journey/4. MATLAB Import the divorce data.mp4-96.29 MB
  • 08. Probability theory/10. Code cdfs and pdfs.mp4-95.94 MB
  • 11. Confidence intervals on parameters/3. Code compute confidence intervals by formula.mp4-94.3 MB
  • 10. The t-test family/5. Two-samples t-test.mp4-93.81 MB
  • 08. Probability theory/23. Code the CLT in action.mp4-93.33 MB