Pandas is a Python library that is used for data analysis and manipulation. It provides a number of functions for cleaning and formatting data. In this article, we will learn how to clean string data in a given Pandas DataFrame. We will cover the following topics: Removing leading and ... Read More

Clustering is a fundamental unsupervised learning technique that aims to discover patterns or groupings in unlabeled data. It plays a crucial role in various domains such as data mining, pattern recognition, and customer segmentation. However, once clustering algorithms are applied, it becomes essential to evaluate their performance and assess the ... Read More

Support Vector Machines (SVMs) are supervised learning algorithms that can be used for both classification and regression tasks. SVMs are powerful algorithms that can be used to solve a variety of problems. They are particularly well−suited for problems where the data is linearly separable. However, SVMs can also be used ... Read More

A population pyramid is a graphical representation of the age and gender distribution of a population. It consists of two back−to−back bar charts, one showing the distribution of males and the other showing the distribution of females across different age groups. The population pyramid is a powerful visualisation tool that ... Read More

When working with data in Python, there may be situations where you need to organise your data into a list of N−lists. This data structure, commonly known as a "list of lists, " allows you to store and access multiple sets of data in a structured and flexible manner. Each ... Read More

Image classification is a type of machine learning task that involves identifying the objects or scenes in an image. It is a challenging task, but it has many applications in real−world problems such as facial recognition, object detection, and medical image analysis. In this article, we will discuss how to ... Read More

Excel uses a special format to store dates and times, called serial date numbers. Serial date numbers are a count of days since January 1, 1899, which is the date that Excel considers to be the beginning of time. Python's datetime module provides powerful tools for working with dates and ... Read More

Arrays are fundamental data structures in programming, enabling us to store and manipulate collections of values efficiently. Python, as a versatile programming language, provides numerous tools and libraries for working with arrays and matrices. In particular, the ability to convert 1−D arrays into 2−D arrays is an essential skill when ... Read More

When working with data in Python, it is often necessary to transform and manipulate arrays to facilitate analysis and computations. One common scenario is converting a 1D array of tuples into a 2D Numpy array. This conversion allows for easier indexing, slicing, and applying array operations. In this article, our ... Read More

SQLite is a popular, lightweight, and self−contained database engine that is widely used in various applications. One of the unique features of SQLite is its ability to create databases in memory, which allows for faster data access and manipulation. In this article, we will explore how to connect to an ... Read More