- Published on November 23, 2021
- In Deep Tech
A Beginner’s Guide to Two-Phase Learning
two-phase machine learning algorithm if uses two algorithms together where the first algorithm is used for imputing variables of the dataset and the second algorithm is used to predict the values
- By Yugesh Verma
Most of the time, machine learning models are prepared to deal with data that is assumed to be correct and balanced and also with less hidden information. When it comes to real-life problems we barely have such data. To make the models learn more accurately in such scenarios, different approaches to modelling can be used. Two-phase learning is one such approach that recently gained the attention of practitioners. In this article, we will discuss two-phase machine learning, which can be considered as one of the approaches the modelling with the data can be done in two phases to get an accurate result. The major updates that we will discuss here are listed below.
Table of Contents
What is Two-Phase Learning?Basic Approach to Two-Phase Learning ModelPractical Use-Cases of Two-Phas
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Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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