Scikit-Learn

plitting Your Dataset with Scitkit-Learn train_test_split Cover Image

Splitting Your Dataset with Scitkit-Learn train_test_split

2 Comments / 30 Days of Python, Machine Learning, Python Posts, Scikit-Learn /

In this tutorial, you’ll learn how to split your Python dataset using Scikit-Learn’s train_test_split function. You’ll gain a strong understanding of the importance of splitting your data for machine learning to avoid underfitting or overfitting your models. You’ll also learn how the function is applied in many machine learning applications. Being able to split your […]

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Introduction to Random Forests in Scikit-Learn (sklearn)

Introduction to Random Forests in Scikit-Learn (sklearn)

5 Comments / 30 Days of Python, Machine Learning, Scikit-Learn /

In this tutorial, you’ll learn what random forests in Scikit-Learn are and how they can be used to classify data. Decision trees can be incredibly helpful and intuitive ways to classify data. However, they can also be prone to overfitting, resulting in performance on new data. One easy way in which to reduce overfitting is

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