README.md

Machine Learning Algorithms

This project aims to study Machine Learning algorithms, through the Machine Learning e Data Science com Python de A a Z course

The implemented algorithms are:

Classification

• Artificial neural networks
• Decision trees
• Instance-based learning
• Learning by rules
• Logistic Regression
• Naive Bayes
• Support Vector Machines (SVM)

Regression

• Decision trees Regression
• Linear Regression
• Neural networks Regression
• Polynomial Regression
• Support Vectors Regression

Clustering

• K-means
• Association Rules
• DBSCAN
• Hierarchical grouping

How to use?

Python File

To use this algorithms it is necessary to install some libraries, which can be used when downloading Anaconda

You can clone the project using:

git clone https://github.com/ronaldogomes96/MachineLearningCourse.git

After that, just run the project in Anaconda IDE, like Jupyter Notebook or Spyder, or even PyCharm.

Want to contribute?

If you want to contribute just open an issue informing the improvement or create a pull request.

Show your support

Give a ⭐️ if this project helped you!

📝 License

Copyright © 2019 Ronaldo Gomes