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Dummy-variables
Dummy variables can be really helpful while creating multiple linear regression models.multiple-regressions
Handling huge data with multi variables require multiple regression models. Coding in Python has made my life easier.kmeans-clustering
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.object-oriented
Python is certainly the most awesome language out there. Just a repository for my reference.github-slideshow
A robot powered training repository π€tensorflow-TF2.0
Building concepts using Tensorflow which is an end-to-end open source platform for machine learning.neural_networks
Building machine learning algorithms form scratchlogistic-regression
Logistic regression is typically used performing ML models while the data is not linear.linear-regression
Few linear regression models developed by me.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.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.assignments
Just some college assignmentsbank_note_authentication
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