jethronap/jstat-examples

Examples of usage for the jstat library

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 LassoRegularizer and RidgeRegularizer
• Example 8: Classification performance assessment using the ConfusionMatrix class
• 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

Miscellaneous

• Example 1: Basic operations with INDArray
• Example 2: Load data from an Elasticsearch index