Pipeline in Machine Learning | sklearn | TeKnowledGeek

Pipeline in Machine Learning | sklearn | TeKnowledGeek A machine learning pipeline is a way to codify and automate the workflow it takes to produce a machine learning model. Machine learning pipelines consist of multiple sequential steps that do everything from data extraction and preprocessing to model training and deployment. One Hot Encoding | Different Types of Feature Engineering Encoding Techniques | TeKnowledGeek This video will show you how to create a workflow using sklearn pipeline method. 1. Why do we need to use sklearn Pipeline? 2. How can we create a workflow using sklearn Pipeline? 3. What are the pros and cons of sklearn Pipeline? Our machine learning playlist: https://www.youtube.com/playlist?list=PL7e7n_-0r6CG3C4e2UNCJyyDNjxYoOC49 Channel link: https://www.youtube.com/c/TeKnowledGeeK LinkedIn profile: https://www.linkedin.com/in/akshay-mukhopadhyay-b3585ba2 Related video title : One Hot Encoding | Different Types of Feature Engineering Encoding Techniques | TeKnowledGeek related tags : python analytics machine learning imputer dropna fillna features target dependent variables independent variables sklearn imputer sklearn example sklearn imputer machine learning preprocessing sklearn.preprocessing imputer imputer find the missing values in python imputer.fit fit_transform imputer on missing values python python imputer example imputer sklearn imputer python how to use imputer imputer function in python normalization in feature scaling code with akshay how to do feature scaling in machine learning reference: https://towardsdatascience.com/a-simple-example-of-pipeline-in-machine-learning-with-scikit-learn-e726ffbb6976 thumbnail photo by: https://unsplash.com/photos/YKW0JjP7rlU?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLink tags : #Pipeline #FeatureScaling #FeatureEngineering​ #Data_Preprocessing​ #machine_learning​ #teknowledgeek​