multipleregression

There are 17 repositories under multipleregression topic.

  • maryamsoftdev/MultipleRegression

    learning python day 4

    Language:Python1100

  • adi19891/Multiple-Regression-of-Body-Fat-

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

    Language:Jupyter Notebook0000

  • datascientist2021/Bike-Sharing

    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 the world which is composed of over 500 thousand bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. Apart from interesting real-world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research. The goal here is to build an end-to-end regression task. Here the user will provide the data and the result will be given by the best performing hyper tuned Machine Learning model. The user will also get privileges to choose the deployment options.

    Language:Python0100

  • imakash3011/Rental-Bike-Sharing

    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 the world which is composed of over 500 thousand bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. Apart from interesting real-world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research. The goal here is to build an end-to-end regression task. Here the user will provide the data and the result will be given by the best performing hyper tuned Machine Learning model.

    Language:Python0200

  • kalyanidhanwada/bigmart-sales-data

    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.

    Language:Jupyter Notebook0100

  • mahdiskj/MultipleLinearRegression

    a simple implementation of multiple linear regression by backward elimination method

    Language:Jupyter Notebook0100

  • May-code-source/WHOLifeExpectancyAnalysis

    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.

    Language:Jupyter Notebook0100

  • PraneethaSavali/Multiple-Regression

    Language:R0100

  • Suhail-Shaikh-96/Building-Multiple-Regression-model-to-predict-Sales

    Multiple Regression

    0200

  • tahira2k16/Logistic-Regression-Projects

    Logistic Regression Project

    Language:Jupyter Notebook0100

  • yogeshMarutiPatil/Multiple-and-logistic-Regression-in-SPSS

    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 estimate in order to predict thetype of education on the bases of sex and age.

    0101

  • anirudhrealdeal/ML1

    Basic ML algos mainly Supervised Learning

    Language:Python10

  • antuniooh/numerical-calculation-database-analysis

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

    Language:Jupyter Notebook301

  • iamcrj/Multiple_Linear_Regression

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

    Language:Python10

  • julioflima/computacional-inteligence

    Examples practiced in class at University Federal of Ceará.

    Language:MATLAB10

  • subhanjandas/Predicting-Housing-Prices-Using-Multiple-Linear-Regression-and-k-NearestNeighbours-kNN

    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.

    Language:Jupyter Notebook102

  • Vino16491/MachineLearning

    Machine Learning Practice

    Language:Jupyter Notebook20