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Title: Mobile Price Range Classification
About: Implementing step by step Logistic Regression algorithm in python with help of a project i.e. Mobile Price Range Classification to classify the target variable(price_range) with value of 0(low cost), 1(medium cost), 2(high cost) and 3(very high cost) .
Name: Ayushi Shrivastava
Label: Feature Request
Assignee: 'ayushi424'

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Define You:

• DevIncept Participant
• Contributor

Is your feature request related to a problem? Please describe.

I want to contribute step by step implementation of logistic regression algorithm using a project as Mobile Price Range Classification to classify the target variable(price_range) with value of 0(low cost), 1(medium cost), 2(high cost) and 3(very high cost) with the project structure as mentioned.

Describe the solution you'd like...

Implementing Logistic Regression Algorithm using a project as Mobile Price Range Classification with following step:

Data training using the mobile price classification dataset. Model creation which will include importing logistic regression from sklearn, initializing the classifier, then fit the training data into it and perform classification.

Dataset to be used
https://www.kaggle.com/iabhishekofficial/mobile-price-classification?select=train.csv