Machine Learning

All About Machine Learning

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Ultimate Guide For KS Statistic a CLASSIFICATION Metrics

December 19, 2022

Let’s learn about math, interpretaion and implimentaion in python for Kolmogorov-Smirnov(KS) statistic Introduction to classification Classification is a machine learning technique that involves predicting the class or category to which an input belongs. For example, a classification model might take as input an image of a person’s face and output the predicted identity of the …

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Feature Selection Techniques: ULTIMATE GUIDE

Feature Selection Techniques: ULTIMATE GUIDE

December 18, 2022

An Introduction to different types of feature selection techniques available with their pros and cons. Introduction Feature selection is an important part of the machine learning process. It involves selecting the most relevant and informative features from a dataset to use in a model, which can help improve the model’s performance and efficiency. By selecting …

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Decision Trees Clearly Explained!!!

Decision Trees Clearly Explained!!!

December 18, 2022

Understand the Goal, Advantages/ Disadvantages, and practical Implementation of Decision Trees. Decision Trees are non-parametric supervised machine learning algorithm that can be used for classification (when the target is categorical), Regression (When the target is numerical), and also for subjective segmentation.  Non- parametric means non-mathematical i.e., there is no estimation happening in the backend (e.g., Ordinary …

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