machine-learning-metrics

There are 0 repository under machine-learning-metrics topic.

• Py-Contributors / metrics

  Machine/Deep Learning metrics implementation in python

  machine-learningmachine-learning-librarymachine-learning-metricsmetricsmetrics-librarymetrics-visualizationpython3mathematical-programmingmathematicsr2-score
  Language:Python 2

• tyedem / Machine-Learning-Trader

  Backtesting trading strategy performances between actual market returns, a dual moving average crossover strategy and support vector machines

  backtesting-trading-strategiesmachine-learningpythonfinancial-analysishyperparameter-optimizationsupervised-learningtechnical-indicatorsfeature-engineeringmachine-learning-metrics
  Language:Jupyter Notebook 1

• zhiraslan / machine-learning-projects

  The current repository contains ml works that were completed on the course and independently. These include the use of the most popular methods for solving forecasting problems (linear regression, polynomial regression, regression with L1 and L2 regularization), classification (k-nearest neighbor method, decision trees, naive Bayesian classifier, SVM, logistic regression), and clustering (k-means method, DBSCAN). There are also separate notebooks on specific metrics and proprietary implementations of some of the listed algorithms, and dimension reduction methods (PCA, SVM, t-SNE).

  machine-learning-algorithmsmachine-learning-metricspythonpandasnumpymatplotlib
  Language:Jupyter Notebook