Discover nipunmohindra/kmeans-clustering Open Source project

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Created over 4 years ago
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nipunmohindra

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k-means clustering is a method of vector quantisation, originally from signal processing. It aims to partition n observations into k clusters in which each observation belonging to the cluster.

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Dummy variables can be really helpful while creating multiple linear regression models.

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multiple-regressions

Handling huge data with multi variables require multiple regression models. Coding in Python has made my life easier.

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object-oriented

Python is certainly the most awesome language out there. Just a repository for my reference.

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github-slideshow

A robot powered training repository 🤖

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Building concepts using Tensorflow which is an end-to-end open source platform for machine learning.

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neural_networks

Building machine learning algorithms form scratch

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logistic-regression

Logistic regression is typically used performing ML models while the data is not linear.

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linear-regression

Few linear regression models developed by me.

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sklearn-regression

sklearn is a really important tool when it comes to linear regression models in Data Science. Everything you need to know about the codes of sklearn is in here.

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Tic-Tac-Toe

I coded this awesome Tic-Tac-Toe gaming bot in Python, feel free to play it for yourself:)

Customer_Reviews

Propositon of a novel and effective web mining technique for assessing the customer review for a particular product based on cluster techniques.

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assignments

Just some college assignments

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bank_note_authentication

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projects

Few cool DS projects

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nipunmohindra/kmeans-clustering

nipunmohindra

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