Making Intellectuals Meet Excellence!
In this article, we will be using a dataset that contains the subject of the mail and also specifies whether the mail is spam or not based on 1 and 0 mentioned. Step 1: Importing Libraries Each of the library imported is used for the following tasks: step 2: Import the Dataset To see the […]
We will be using the Social network ad dataset The dataset contains the details of users in a social networking site to find whether a user buys a product by clicking the ad on the site based on their salary, age, and gender. Step 1: Import Libraries Let’s start by importing essential libraries: Step 2: […]
In this article, you will learn about the lemmatization and stop-words which are a part of a text preprocessing. Lemmatization is the process of reducing words to their base or dictionary form, known as the lemma. Implementation of Lemmatization import nltkfrom nltk.stem import WordNetLemmatizer The WordNetLemmatizer is part of the Natural Language Toolkit (NLTK) library and […]
This article focuses on understanding and applying different stemming techniques used in Natural Language Processing (NLP) to reduce words to their root forms. Stemming is an essential preprocessing step that simplifies text data, helping in tasks like text analysis, classification, and search optimization. Stemming is the process of reducing a word to its linguistic root. […]
In this article, you will explore various tokenization methods provided by the Natural Language Toolkit (NLTK) to process and analyse textual data. Tokenization is a crucial preprocessing step in Natural Language Processing (NLP), where text is broken down into smaller units, such as sentences or words. Tasks 1. Open a notebook a jupyter. 2. Start […]
In this activity, you will build an interactive web application for classifying Iris flower species using Streamlit and a Random Forest Classifier algorithm. This practical is a hands-on demonstration of combining machine learning and web application development to create a user-friendly tool for predictive analysis. Streamlit is an open-source Python framework for data scientists and AI/ML […]
In this article, you’ll learn how to interact with form elements on a web page using XPath locators in Selenium WebDriver. By locating elements like input fields and buttons with XPath, you’ll automate actions such as typing text and clicking buttons. This is a fundamental skill in web automation and testing. Below you can find […]
This article explains how to handle checkboxes using Selenium in Python. It includes locating checkboxes on a web page using their unique identifiers, verifying their initial selection state, toggling their selection by clicking, and printing the state changes to the console. 1. Import the Necessary Libraries, creating an driver instance and navigating to the specified […]
This article explains how to identify and count the number of iframes (inline frames) present on a webpage using Selenium WebDriver. Two methods are used: An iFrame, or inline frame, is an HTML element that allows you to embed content from another source into a web page. iFrames are used to display content from other websites, […]
This article explains how to capture screenshots using Selenium WebDriver in Python. It includes screenshots of a specific web element and the entire webpage. The captured screenshots are saved in a specified directory on the local machine. 1. Create a Python file 2. Locate the web element and take a screenshot of that particular element […]