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Machine Learning Environment: Python, R, RStudio, and Colab

· 2 min read
Gerardo Perrucci
Software Engineer

Hi everyone! I'm venturing into the exciting world of machine learning (ML), and this article details the tools I'm using to get started.

Essential Software

Python: As a widely used general-purpose language, Python is a popular choice for ML due to its readability, extensive libraries, and large community.

Python download: https://www.python.org/downloads/

R: Another powerful language specifically designed for statistics and data analysis. R offers a rich ecosystem of packages specifically tailored for ML tasks.

You can download R from the official website: https://www.r-project.org/

RStudio: An integrated development environment (IDE) built specifically for R. It provides a user-friendly interface for writing, running, and managing your R code. It also offers features like code completion, syntax highlighting, and debugging tools, making your R experience smoother.

Download RStudio from the official website: https://www.rstudio.com/products/rstudio/