What’s the difference between Statsmodels and Scikit-learn? Both have ordinary least squares and logistic regression, so it seems like Python is giving us two ways to do the same thing. Statsmodels offers modeling from the perspective of statistics. Scikit-learn offers some of the same models from the perspective of machine learning. So we need to …
This tutorial will show you everything you need to get started training your first models using decision tree learning in Python. To help you grasp this topic thoroughly, I attacked it from different perspectives: textual, visual, and audio-visual. So, let’s get started! Why Decision Trees? Deep learning has become the megatrend within artificial intelligence and …
Decision Tree Learning — A Helpful Illustrated Guide in Python Read More »
Nothing to add—let’s get started! 🐍 Python is the fastest-growing major programming language. A StackOverflow 2019 developer survey shows that Python is not only faster growing than C++, Java, JavaScript, and any other major programming language, it also comes with a happier community that loves the language most. Python is great for machine learning. Python comes with …
NumPy is not the trendiest Python library in the world. There are libraries such as TensorFlow or Scikit-learn for machine learning. These libraries get all the attention these days. However, in this article, I want to highlight the importance of learning the basics first. You cannot learn TensorFlow before you’ve learned Python. Similarly, you cannot …
If you’ve used the sklearn library in your own code, you may have realized that all attributes are suffixed with a trailing underscore. Here’s an example for the k-means algorithm: In the second-last line, we used the kmeans attribute cluster_centers_. Why does sklearn library not use the attribute name cluster_centers? ‘The short answer is, the …