Machine Learning

What is the Bottom Layer of a Decision Tree? Decision trees are supervised algorithms used for developing classification and regression models in machine learning. The bottom layer also known as the leaf layer is where final predictions are made. After splitting the data multiple times throughout the tree, the final output is derived in the […]

What is the “Failed Building Wheel” Error? When we try to install a Python package some time we see error “Failed Building Wheel”. This error indicates that the installation process couldn’t compile a wheel file for that package. In this error “Error failed building wheel for numpy” it failed to compile for Numpy Package. What

In pandas we have a .to_csv() method which gives a way to export a dataframe to a csv file. Syntax : df.to_csv(path_or_buf, sep=’,’, na_rep=”, float_format=None, columns=None, index=True, index_label=None, mode=’w’, encoding=None, compression=None, quoting=None, quotechar='”‘, line_terminator=’n’, chunksize=None, date_format=None, doublequote=True, escapechar=None, decimal=’,’, thousands=None, dtype=None) We have a long list of parameters in the to_csv() function but we will

Errors are part of coding. Having a good understanding of error handling makes you a better developer. In this blog we will learn Python error handling best practices. Why Error Handling is Important?Error handling helps the application to gracefully tackle the error and prevents the application from crashing. It provides information about the error. Overview

What is a ‘dict_keys’ Object in Python? Dict_keys objects are a special type of dynamic view which shows keys in a dictionary. Which means that any changes made in the dictionary will be reflected in the dict_keys view. In simple terms ‘dict_keys’ object is a view object which provides a dynamic view of keys in

What does unhashable type mean in Python? Unhashable type means that object does not have a fixed hash value. Object like that cannot be used  as a key in a dictionary or an element in a set. Data structures like dictionaries and sets are hash based data structures. Hash based data structures means that the structure relies

Introduction to One-Hot Encoding When we want to convert categorical data into a numerical format we use One Hot encoding which can be understood by computer. In one hot encoding we create new binary columns for each unique value in categorical features.  In one hot encoding we assign values like 0 or 1 to columns

What is a callable object ?In simple terms any object that can be called using parentheses () is called a callable object. Similarly how we invoke a function. Callables include functions, methods, classes and objects that implement the special __call__() method. In the blog we will learn how to solve typeerror : dict object is

When we look into Python, there are multiple ways to create a list of a particular size with the same value. We need this kind of setting for carrying out operations in bulk. Let’s go through all the different techniques for creating a list of size N with same value. Using a loop to create