Topic: backward-elimination Goto Github
Some thing interesting about backward-elimination
Some thing interesting about backward-elimination
backward-elimination,
User: akankshagpt18
backward-elimination,Classification model that can predict whether a tumor is Benign or Malignant.
User: akashsdas
backward-elimination,Classification model to classify whether a customer is going to churn or not. Using the dataset EDA is done.
User: akashsdas
backward-elimination,Multiple linear regression model implementation with automated backward elimination (with p-value and adjusted r-squared) in Python and R for showing the relationship among profit and types of expenditures and the states.
User: annashestova
backward-elimination,Domain-Agnostic Supervised Learning with Hyperdimensional Computing
User: cumbof
backward-elimination,Classification with Feature Selection and Extraction Methods
User: hayriyeanill
backward-elimination,Year after year the percentage of carbon dioxide emissions in Jordan increase dramatically, and this lead to increase the temperature , to investigate this, the project aims to study the impact of CO2 emissions in on temperature and then use deep learning algorithm to predict the CO2 emission level through the next 10 years
User: leenalnajjar
backward-elimination,Multiple linear regression has been used in order to provide a predictions regarding the common factors that affect the life expectancy.
User: leenalnajjar
backward-elimination,Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.
User: manesioz
backward-elimination,
User: memudualimatou
backward-elimination,Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models
User: mvmukesh
backward-elimination,Feature Selection Using Python (Forward Selection and Backward Elimination)
User: naumananwar97
backward-elimination,Uses nearest neighbor algorithm to find which feature is the best indicator for a certain class attribute
User: nnguy072
backward-elimination,According to WHO(world health organization) survey in 2014, the dataset contains nourished and malnourished child information (under 5). The job is to find out whether a child is malnourished or not when a new data will come applying machine learning algorithm.
User: riju18
backward-elimination,The goal of this assignment is to gain practical experience of performing regression on a small but realistic dataset, using a machine learning package.
User: saikrishnaj97
backward-elimination,This project estimates a multiple linear regression of 50 startups and how their expenses on R & D, administration, marketing, and location can be significant or not to their profits.
User: santiagomorenov
backward-elimination,As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.
User: sarthak-mohapatra
backward-elimination,Selecting the best startup to invest by analyzing the profit and its expense in different fields using the Multiple Linear Regression
User: sudarshan-koirala
backward-elimination,Automated Backward and Forward Selection On Python
User: talhahascelik
backward-elimination,Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
User: vaibhavabhimanyoohiwase
backward-elimination,Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
User: waihongchung
backward-elimination,
User: woodsman1
backward-elimination,Analysis of the Underlying Dynamics in the Stock Market: Stock Price of Southwest Airlines and Its Relationship with Other Stocks in the Market
User: yingzima
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