While working on various dataset to train a Machine Learning model. What is it, that you look for? What is the most important part of the EDA phase? There are certain things which, if they are not done in the EDA phase, can affect further statistical / Machine Learning modelling. One of the answers is to, find “Outliers”.
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Machine learning developers often encounter models that perform well on a data set, but dont live up to expectations when used on unseen or test data. This problem is called Overfitting. If you would like to learn more about Overfitting and how to avoid it, read on.
Decision Trees, the popular and time-tested method of applying logic to complex problems, where the variables are many and the options specific and dependent, have an important role to play within Machine Learning. We will dedicate this paper to understanding why this reasonably humble technique has become such an important tool for data scientists.
Do you remember those afternoons in school or college when the professor was trying to teach you about things you never thought you would use in adult life? I bet regression and statistical algorithms are on that list. Well, it turns out that, with the realization of the importance of extracting knowledge from data, these techniques play an important role in Machine Learning and Data Science....
Kick-start your Machine Learning journey by gaining an understanding of the fundamentals of Logistic Regression. Here we explain what Logistic Regression is and give two practical examples of how to build a machine learning model using Python