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KNN is an algorithm that uses k nearest neighoubours of a point to predict its label. we will perform heart disease prediction using KNN.
The process mining is a methodology used to discover, monitor, and improve processes that already exist within a business by relying on data.
Here, We will be implementing Topic extraction on PM Modi's independence day 2020 speech and extract important topics from his speech.
In this article, we will be going through 12 Matrix Operations You Should Know While Starting your Journey in Deep Learning
Our main objective is to scrape through the job portal and fetch Machine Learning related jobs with data scraping using python and selenium.
This article will introduce to hypothesis testing and illustrate with a few examples in Python. We will see different versions of T-test.
Naive Bayes is a powerful tool that leverages Bayes' Theorem. In this article We are going to use Naive bayes classifier for topic modeling.
Learn polynomial regression from basic to advanced techniques. Easily identify trend, make predictions, and develop models for large datasets,
In this article, we are presenting two concepts of machine learning i.e SVM and PCA with theoretical explanation and python implementation.
Here we will perform colour quantization using k-means clustering. It is the method of lessening the abundance of different colors in an image
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