Machine learning

sklearn GridsearchCV example - www.devpyjp.com

Gridsearchcv – Hyperparameter tuning in machine learning

Hello, guys! Welcome to another great tutorial on machine learning. Gridsearchcv is used for hyperparameter tuning in machine learning. In this tutorial, you will learn What is Gridsearchcv.. ? Hyperparameter tuning using Gridsearchcv Finding the best algorithm using Gridsearchcv What is gridsearchcv Gridsearchcv helps to find the best hyperparameters in a machine learning model. And …

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covid19 - www.devpyjp.com

Corona Patient prediction using machine learning – covid19

People were dying, people are suffering. Day by day it’s increasing. Is it our job to protect ourselves, only doctors will do that..? I want to contribute at least a small to covid19 issue, so I decided to build a machine learning model that predicts corona patients based on the given data. Stay home, stay …

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variance inflation factor in python - www.devpyjp.com

Variance inflation factor in python (VIF) – multicollinearity

Hey, machine learning humans! Welcome to the variance inflation factor in python tutorial. This is a very important consideration when you are moving to model building in machine learning. In this tutorial, I am gonna teach you the below topics Colinearity Multicolinearity Variance inflation factior (VIF) Detecting Multicolinearity Solutions to multicolinearity Ok, are you ready …

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gradient descent machine learning - www.devpyjp.com

Gradient descent algorithm in machine learning

Gradient descent is an algorithm used to minimize the cost function. we use gradient descent in machine learning to update our model parameters. In Linear regression, parameters refer coefficients and weights in deep learning. Here, we are lookup into the gradient descent algorithm in machine learning. lets cheers..! Linear regression: linear regression is a statistical …

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cross validation - www.devpyjp.com

Types of cross validation in machine learning

Hello, Machine learning enthusiasts, welcome to another beautiful article of machine learning by DevpyJp. Cross validation is a technique that can help us to improve the model accuracy in machine learning. Simply, it is a split of our data into test data and train data in a model building in machine learning. It has a …

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K-NN Algorithm - devpyjp.com

KNN algorithm in machine learning – A Simple guide

KNN algorithm is the most simple and easy classification algorithm in supervised machine learning. K-NN is known as K- Nearest Neighbors. It is the basic and most popular algorithm and it is also called Lazy learner because of training speed and prediction time. Features of KNN algorithm The most common and simple classification algorithm, it …

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Logistic Regression in machine learning

Logistic regression in machine learning – Quick guide

Logistic regression is a classification algorithm, not a regression technique. let’s take an example men and women are two categories. we can classify them based on features like hair_length, height, and weight. so many people often confused about linear and logistic regression. If you don’t know what is linear regression please check here and get …

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Linear Regression in machine learning

Linear Regression in Machine learning – A Simple Way of understanding

Linear regression is a predictive analytic technique, which is a relationship between one dependent variable and one or more independent variables. You might hear about the equation below if you passed from school. This is a simple equation that helps us to find the best price of house or stock or maybe the validity period …

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