How to update sklearn python package
This recipe helps you update sklearn python package. Scikit-learn is the opened source python machine learning library. Sklearn provides dozens of machine learning algorithms for example:- regression, classification, clustering and many others.
Recipe Objective - How to update sklearn python package?
Sklearn is the opened source python machine learning library. This library supports supervised and unsupervised learning as well. It also provides the tools for data preprocessing, model selection, model evaluation, and many other utilities.
Sklearn provides dozens of machine learning algorithms for example:- regression, classification, clustering, and many others. The purpose of this guide is to illustrate some of the main features that scikit-learn provides.
List of Classification Algorithms in Machine Learning
Table of Contents
Links for the more related projects:-
https://www.projectpro.io/projects/data-science-projects/deep-learning-projects
https://www.projectpro.io/projects/data-science-projects/neural-network-projects
Models provided by scikit-learn:-
1. Regression
2. Classification
3. Clustering
4. Decision Tree
5. Naive Bayes
6. Neural network models (supervised)
7. Model Selection
8. Preprocessing
9. Dimensionality reduction
How to upgrade sklearn package:-
To upgrade "scikit-learn" using conda:
conda update scikit-learn
To uninstall scikit-learn:
conda remove scikit-learn
To upgrade "scikit-learn" using pip:
pip upgrade and uninstall operations only work on packages installed via pip install.
pip upgrade scikit-learn
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