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Confusion matrix in machine learning
A confusion matrix is a N x N matrix that is used to interpret model evaluation performance systematically. Here N is the number of...
rishabhdwivedi062
Nov 5, 20222 min read
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How to optimize linear regression model using gradient descent.
It is an optimization algorithm that works iteratively and aims to find the minimum value of a convex function with respect to a set of...
rishabhdwivedi062
Sep 23, 20222 min read
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Data exploration and preprocessing in machine learning - House Price Prediction.
Data exploration and preprocessing are the key aspects of machine learning. With proper exploration and preprocessing we can enhance the...
rishabhdwivedi062
Sep 4, 20223 min read
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What is descriptive statistics in machine learning?
Descriptive statistics are calculated only for numerical variables. It gives us the detailed results of our dataset which includes mean,...
rishabhdwivedi062
Aug 29, 20221 min read
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Types of machine learning algorithms.
Machine learning contains a set of algorithms that work on a huge amount of data. Data is fed to these algorithms to train them, and on...
rishabhdwivedi062
Aug 19, 20222 min read
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What is Machine Learning? Understand it with a real world example!
Machine learning is the ability of machines to learn from past experiences and predict future outcomes. Therefore it is an art to teach...
rishabhdwivedi062
Aug 15, 20222 min read
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