A python-like Machine Learning Library for MQL5

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MALE5 is a machine-learning repository for creating trading systems in the c++ like, MQL5 programming language. It was developed to help build machine learning-based trading robots, effortlessly in the MetaTrader5 platform

This Library is:

• Simple to use: You can literally start building your system once you call the class constructor
• Flexible: You can use it in any program script, Indicator, EA's
• Resource-efficient: It doesn't consume a lot of memory or CPU, and takes short time intervals to train

Linear Models

• Linear Regression
• Logistic Regression
• Polynomial Regression
• Ridge & Lasso Regression

Decision Tree Random Forest Naive Bayes & Gaussian Naive Bayes Neural Networks

• Pattern Nets
• Regressor Nets
• Kohonen Maps

Neighbors

• KNN Nearest Neighbors

Support Vector Machines

• Support Vector machine

Clustering

• KMeans
• Hierarchical/Agglomerative clustering Data Mining
• Principal Component Analysis(pca)

Clustering techniques | Unsupervised Learning:

• KNN clustering

Go to the Include directory and open CMD then run

git clone https://github.com/MegaJoctan/MALE5.git

There is a short clear description of how to use this library on this repository wiki https://github.com/MegaJoctan/MALE5/wiki

You can also post bug reports and feature requests (only) in GitHub issues.

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