How To Remove Nltk From Python Last Updated : 27 Jan, 2024 Comments Improve Suggest changes Like Article Like Report In Python, NLTK, or Natural Language Toolkit, is a powerful library that is used for human language data. This library provides tools for tasks like tokenization, stemming, tagging, passing, and more. Once the usage of the library is done, we can remove NLTK from our system. So we can remove it using the pip package manager. In this article, we will see the detailed method for removing the NLTK module from our system. Pre Requisites:Here are some prerequisites to remove the NLTK in Python. Python.Python-PIPRemoving Nltk in PythonStep 1: First, open the command prompt with the administrative user on your system and execute the below command in the prompt to remove Nltk using PIP. pip3 uninstall nltk Step 2: Once the uninstallation is completed, our next task is to verify the successful removal. So we can verify it by checking the information about the library. Execute the below command in the prompt to verify. You will see the warning message "Package not found: nltk". This indicates that the nltk is removed from the Python. pip3 show nltkOutput: Comment More infoAdvertise with us Next Article How To Remove Nltk From Python G gpancomputer Follow Improve Article Tags : Geeks Premier League NLP AI-ML-DS Python-nltk Geeks Premier League 2023 +1 More Similar Reads Machine Learning Tutorial Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches the systems to think and understand like humans by learning from the data.It can 5 min read Non-linear Components In electrical circuits, Non-linear Components are electronic devices that need an external power source to operate actively. Non-Linear Components are those that are changed with respect to the voltage and current. Elements that do not follow ohm's law are called Non-linear Components. Non-linear Co 11 min read Linear Regression in Machine learning Linear regression is a type of supervised machine-learning algorithm that learns from the labelled datasets and maps the data points with most optimized linear functions which can be used for prediction on new datasets. It assumes that there is a linear relationship between the input and output, mea 15+ min read Support Vector Machine (SVM) Algorithm Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks. It tries to find the best boundary known as hyperplane that separates different classes in the data. It is useful when you want to do binary classification like spam vs. not spam or 9 min read Spring Boot Tutorial Spring Boot is a Java framework that makes it easier to create and run Java applications. It simplifies the configuration and setup process, allowing developers to focus more on writing code for their applications. This Spring Boot Tutorial is a comprehensive guide that covers both basic and advance 10 min read Class Diagram | Unified Modeling Language (UML) A UML class diagram is a visual tool that represents the structure of a system by showing its classes, attributes, methods, and the relationships between them. It helps everyone involved in a project—like developers and designers—understand how the system is organized and how its components interact 12 min read Logistic Regression in Machine Learning Logistic Regression is a supervised machine learning algorithm used for classification problems. Unlike linear regression which predicts continuous values it predicts the probability that an input belongs to a specific class. It is used for binary classification where the output can be one of two po 11 min read K means Clustering – Introduction K-Means Clustering is an Unsupervised Machine Learning algorithm which groups unlabeled dataset into different clusters. It is used to organize data into groups based on their similarity. Understanding K-means ClusteringFor example online store uses K-Means to group customers based on purchase frequ 4 min read K-Nearest Neighbor(KNN) Algorithm K-Nearest Neighbors (KNN) is a supervised machine learning algorithm generally used for classification but can also be used for regression tasks. It works by finding the "k" closest data points (neighbors) to a given input and makesa predictions based on the majority class (for classification) or th 8 min read Steady State Response In this article, we are going to discuss the steady-state response. We will see what is steady state response in Time domain analysis. We will then discuss some of the standard test signals used in finding the response of a response. We also discuss the first-order response for different signals. We 9 min read Like