Computational Statistics SPPU

  1. Introduction to Statistics
  2. Statistical Data
  3. Measure of Central Tendency
  4. Measure of Dispersion
  5. Classification Characterization
  6. Statistical Data Visualization
  7. Probability
  8. Binomial Probability Distribution
  9. Multinomial Probability Distribution
  10. Poisson Probability Distribution
  11. Normal Probability Distribution
  12. Gamma Probability Distribution
  13. Exponential Probability Distribution
  14. Uniform Probability Distribution
  15. Lognormal Probability Distribution
  16. Weibull Probability Distribution
  17. Typical Statistical Testing Procedures
  18. Hypothesis Testing and T Test
  19. Z Test
  20. Chi Square Test
  21. ANOVA Test
  22. Confusion Matrix
  23. AUC and ROC
  24. Scaling Techniques
  25. Bias and Variance
  26. Overfitting and Underfitting
  27. Cross Validation
  28. Hyper Parameter Tuning
  29. Linear Regression
  30. Least Square Regression
  31. Gradient Descent
  32. Regression Performance Evaluation
  33. Regularization
  34. Feature Selection
  35. Outliers or Anomaly Detection
  36. Resampling Techniques
  37. Linear Discriminant Analysis
  38. Correlation Coefficients
  39. Multiple Linear Regression
  40. Logistic Regression
  41. Bayes Theorem and Classifier
  42. Monte Carlo Method

 

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