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-policy-subscription-prediction---logistic-regression

Building A Logistic Regression in Python, Step by Step - Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.). In other words, the logistic regression model predicts P(Y=1) as a function of X.

atharvakasodekar04

Config files for my GitHub profile.

basic-resume

Resume using HTML and basic CSS

college-admission-guidance-process

This Website is designed and build to simplify the online admission process at the institute level.

data-science

data-wrangling

Data Wrangling techniques for practice

gdsc-patterns

gitlearningrepo

This Repo is part of git learning tutorial

javascript

Javascript Practice

json-for-api-

JSON files are stored to fetch data

liveliness_authentication

Liveliness authentication to predict photo of photo Vs. Live photo using Image Processing

mobile-price-prediction

Achieved an arrangement to predict the price of a cellphone based on its specifications through four classification algorithms i.e Random Forest Classifier, Naïve Bayes, KNN classifier, and SVM classifier

redribbon-website

RedRibbon website is for blood donation for both donor and recipients.

starter-express-api

virtual-air-mouse-application

This project presents finger movement gesture detection on our computer’s window using camera & handling the whole system by just moving your one finger.