How to Install Sklearn in Colab Last Updated : 24 Jul, 2024 Comments Improve Suggest changes Like Article Like Report Google Colab is a cloud-based Jupyter notebook environment that allows you to write and execute Python code in the browser with zero configuration required. It offers free access to computing resources, including GPUs and TPUs, making it an excellent platform for machine learning and data science projects. Scikit-learn is a popular machine learning library in Python that provides simple and efficient tools for data mining and data analysis. This guide will walk you through the process of installing and using Scikit-learn in Google Colab.Table of ContentWhy Use Google Colab for Scikit-learn?Setting Up Google ColabStep 1: Access Google ColabStep 2: Create a New NotebookInstalling Scikit-learn in Google ColabStep 1: Install Scikit-learnStep 2: Verify the InstallationWhy Use Google Colab for Scikit-learn?Free Access to Powerful Hardware: Colab provides free access to GPUs and TPUs, which can significantly speed up your machine learning workflows.Pre-Installed Libraries: Many popular libraries, including Scikit-learn, are pre-installed, saving you from the hassle of installation and setup.Collaboration: Easily share notebooks with others and collaborate in real-time.Convenience: Run notebooks directly in your browser without any local setup.Setting Up Google ColabStep 1: Access Google ColabOpen your web browser and go to Google Colab.Sign in with your Google account if you are not already logged in.Step 2: Create a New NotebookOnce you are in Google Colab, click on File > New Notebook. This will create a new Jupyter notebook where you can start writing and executing your code.Installing Scikit-learn in Google ColabWhile Scikit-learn is usually pre-installed in Google Colab, you might want to manually install it to ensure you have the latest version or if it's not available. Follow these steps:Step 1: Install Scikit-learn!pip install -U scikit-learnor!pip install https://github.com/Santosh-Gupta/scikit-learn/archive/master.zip Step 2: Verify the InstallationTo verify that Scikit-learn has been installed correctly, you can import it and check its version with the following code: Python import sklearn print("Scikit-learn version:", sklearn.__version__) Run the CellPress Shift + Enter to execute the cell. This will install Scikit-learn (if it wasn't already installed) and print its version to confirm the installation. Comment More infoAdvertise with us Next Article How to Install Sklearn in Colab P poonamvbo5 Follow Improve Article Tags : Machine Learning Data Science Blogathon 2024 Practice Tags : Machine Learning Similar Reads How to Install Geopandas in Kaggle GeoPandas simplifies working with geospatial data. It extends the functionality of pandas by adding support for geographic objects such as points, lines, and polygons. If you're using Kaggle for your data analysis or machine learning projects, you can easily install and use GeoPandas to handle geosp 2 min read How to Install PySpark in Kaggle PySpark is the Python API for powerful distributed computing framework called Apache Spark. Among its many usage areas, I would say it majorly includes big data processing, machine learning, and real-time analytics. Running PySpark within the hosted environment of Kaggle would be super great if you 4 min read How to Install NLTK in Kaggle If you are working on natural language processing (NLP) projects on Kaggle, youâll likely need the Natural Language Toolkit (NLTK) library, a powerful Python library for NLP tasks. Hereâs a step-by-step guide to installing and setting up NLTK in Kaggle.Step 1: Check Preinstalled LibrariesKaggle prov 2 min read How to Install Scapy in Kaggle If weâre working in a Kaggle notebook and want to use the Scapy library for network packet manipulation and analysis, you might be wondering how to install it. Installing Scapy in Kaggle is straightforward, and this article will walk you through the steps in simple language.To install Scapy in a Kag 2 min read How to Install TensorFlow in Anaconda TensorFlow is an open-source machine learning framework built by Google. Anaconda Navigator is a graphical user interface (GUI) application using which we work with packages and environments without using command line interface (CLI) commands. In this article, we will learn how to install TensorFlow 3 min read Like