jstat-examples
Examples of using jstat
Examples Map
Machine Learning
- Example 1: Linear regression
- Example 2: Non-linear regression
- Example 3: Classification with vanilla KNN algorithm
- Example 4: KNN Classification with multiple threads
- Example 5: Clustering with KMeans
- Example 6: Logistic classification
- Example 7: Linear regression with regularization
LassoRegularizerandRidgeRegularizer - Example 8: Classification performance assessment using the
ConfusionMatrixclass - Example 10: Forward Algorithm
- Example 11: Backward Algorithm
- Example 12: Viterbi Algorithm
Statistics
- Example 1: Vanilla Bootstrap for the mean
- Example 2: Vanilla Hypothesis testing for the mean
- Example 3: Goodness of fit of regression line
- Example 4: Simulate the standard error for the mean
- Example 5: Calculate descriptive statistics metrics
- Example 6: Hypothesis tests on the mean of a normal distribution with known variance
- Example 7: Type II error and the sample size
- Example 8: Simulate the Central Limit Theorem
- Example 9: Sampling distribution
Monte Carlo
- Example 1: Monte Carlo Simulation for the Monty Hall Problem
- Example 2: Calculate the area of a circle using Monte Carlo integration
- Example 3: Markov chain Monte Carlo for pi calculation