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Tree-based models have become a popular choice for Machine Learning, not only due to their results, and the need for fewer transformations when working with data (due to robustness to input and scale invariance), but also because there is a way to take a peek inside of them to see...
Cássia Sampaio
NumPy (oftentimes also written as Numpy) is a linear algebra library, which is the basis for most of the scientific computing done in Python. Most libraries for data science, analysis and machine learning build on top of NumPy as the basis for linear algebra, and also have tight coupling and...
Felipe Antunes
Dictionaries in Python are an implementantion of hash tables: a data structure on which data is labeled by a key-value. This data structure is efficient for looking up data by its key, with an expected O(1) lookup time. It is important to keep in mind that dict objects are...
Decision trees are widely used in machine learning problems. We'll assume you are already familiar with the concept of decision trees and you've just trained your tree based algorithm! Advice: If not, you can read our in-depth guide on "Decision Trees in Python with Scikit-Learn guide". Now, it...
Python dict objects have many useful methods for handling data. One method that is useful for accessing data and converting it to a list of tuples is the dict.items() method. my_data = { "Joe": 1, "Jane" : 2, "Alice" : 3, "Bob" : 4 } print(...
The string.replace() method is a convenient way of changing an recurring expression inside a string to another expression - in other words, to replace all occurrences of a string within another string. The notation is: modified_string = my_string.replace('text_I_want_to_change', 'new_...
Article
Data can be represented in various forms - and a convinient way to represent dates and times are strings. However, to work with these dates and times in an arhithmetic fashion (such as calculating time differences, adding or removing time, etc.) - we need to convert them to a datetime...
N Kaushik
The Random Forest algorithm is one of the most flexible, powerful and widely-used algorithms for classification and regression, built as an ensemble of Decision Trees. If you aren't familiar with these - no worries, we'll cover all of these concepts. In this in-depth hands-on guide, we'll build an intuition on...
Whether you're building a verification script for user input, a login form that requests users to include a character in a password - checking whether a string contains a character isn't an uncommon operation. In this tutorial - we'll take a look at the many ways you can check whether...
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