learning python day 4

This project analyzes the WHO dataset to identify global trends and patterns influencing life expectancy using exploratory data analysis and visualization. It provides insights into health inequalities worldwide to inform policies improving outcomes.

a simple implementation of multiple linear regression by backward elimination method

Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, users are able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around th…

Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, users are able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around th…

The goal was to accurately estimate the value of real estate and uncover relevant factors that directly influence property prices. The study used two different models, multiple linear regression and k-Nearest Neighbours (kNN), to predict housing prices.

Machine Learning Practice

In this project regression model is used that pertains to a summary estimate to how strongly crude death rate is dependenton other factors such as current health expenditure, food safety, physicians density and legislation score and predict the crudedeath rate accordingly. Also, logistic regression model is used that pertains to a summary estima…

The big mart sales data is about how the sales of a big mart which is spread across various cities with a wide variety of products, weights, and sizes are present. The idea behind it was to work on cleaning the data and predicting future sales.

Logistic Regression Project

Examples practiced in class at University Federal of Ceará.

Multiple Regression Analysis of Body Fat Percent and B.M.I(Body Mass Index)

Implemented Multiple Linear Regression using Backward Elimination Method. This code will work for all dependencies of the form y=b0+b1x1+b2x2+b3x3....bnxn

Basic ML algos mainly Supervised Learning

Multiple Regression

Semiannual project on the subject of Numerical Calculus, taught at Centro Universitário FEI. It consists of analyzing the database.