This project involves predicting height based on age using polynomial regression in Jupyter Notebook. Polynomial regression is a variation of linear regression that models the relationship between the independent variable (age) and the dependent variable (height) as an nth-degree polynomial.
Quick analysis on multivariate regression using PCA and R2 score to select variables.
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing 🐤
A machine learning project for predicting credit card approvals using logistic regression.
House Price prediction in US
A little experiment to assest linear and polynomial decision regions in logistic regression.
In this notebook, it will be assumed the role of a Data Analyst working at a real estate investment trust organization . It will be given a dataset containing detailed information about house prices in the region based on a number of property features. The job will be to analyze and predict the market price of houses given that information
Predicting the popularity of a song based off of its audio features using data collected from Spotify
Logistic Regression and Optimization (Tutorial)
Demonstration of how to use correlation matrices to pick the best variables for polynomial regression.
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