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Understanding machine learning models
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How Google uses logic in machine learning
Python vs. R: which one to choose
The language to choose depends on your situation.
Points to consider:
- Do you have programming experience? Python has a learning curve that's linear and smooth. With R, novices can Run data analysis tasks in minutes, but it takes longer to develop expertise.
- What do your colleagues use? Academics, engineers and scientists use R. Python is used in a wide range of industries.
- What problems are you trying to solve? R is used for statistical learning, and Python for machine learning and large-scale applications.
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Python
- Python is a general-purpose, object-oriented programming language.
- It emphasises code readability by using white space.
- It is easy to learn.
- It is a f...
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R
- R is also is an open-source programming language.
- It's optimised for statistical analysis and data visualisation.
- R has a rich ecosystem with complex data mode...
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The main difference between R and Python
They approach data science differently:
- R is used for statistical analysis.
- Python provides a more general approach to data.
- R is built by statisticians and leans heavily into statistical model...
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Other key differences
Data collection
- Python supports all kinds of data formats.
- R is designed for data analysts to import data from Excel, CSV and text files.
Data exploration
- In Python, you ...
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The main difference between R and Python
They approach data science differently:
- R is used for statistical analysis.
- Python provides a more general approach to data.
- R is built by statisticians and leans heavily into statistical model...
Python data processing with pandas
Pandas is a Python language package, which is used for data processing. This is a very common basic programming library when we use Python language for machine learning programming. This article is an introductory tutorial to it. Pandas provide fast, flexible and expressive data structures with t...
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