Machine-Learning

Machine Learning Tutorial

Scikit-learn is a machine learning library for Python that provides simple and efficient tools for data analysis and modeling. It includes various algorithms for classification, regression, clustering, and dimensionality reduction, as well as tools for model selection and evaluation. Scikit-learn is widely used for building and deploying machine learning applications.

installation process

1. install using python pip

   pip install scikit-learn
   

   This command will download and install the latest version of scikit-learn from the Python Package Index (PyPI), but this will require the addition packages, to install, like notebook, numpy, pandas etc..., when we download the anaconda package or miniconda environment, it will preinstall the additional requirements, by using pyPI will require, microsoft redistributable 2019, cmake and addition .net frameworks, so we need to install manually and then install the package, this process requrie more space. so we can install the Anaconda Package,

   Installation of Anaconda Environment

   https://repo.anaconda.com/archive/Anaconda3-2023.09-0-Windows-x86_64.exe
   click the above URL and install the Anaconda package, the instation process will quite simple,

2. install using conda environment

   conda install scikit-learn
   

   This will install the latest version of scikit-learn and its dependencies into your Conda environment. Conda is a package manager and an environment manager, so it helps manage dependencies and isolate your Python environment for different projects. After the installation is complete.
   Since, conda environment will preinstall the addtional requirements, so it will not require any complex process