backward-elimination

There are 0 repository under backward-elimination topic.

talhahascelik / python_stepwiseSelection
Automated Backward and Forward Selection On Python
automated backward backward-elimination data elimination feature feature-selection forward forward-elimination python regression science stepwise-regression variable
Language:Python 67
cumbof / chopin2
Domain-Agnostic Supervised Learning with Hyperdimensional Computing
apache-spark backward-elimination feature-selection gpgpu hd-computing machine-learning vsa supervised-learning
Language:Python 12
VaibhavAbhimanyooHiwase / Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
life-insurance data-science data-mining-algorithms backward-elimination multiple-linear-regression statistics statistical-analysis statistical-learning statistical-models statistical-data risk-analysis risk-calculations risk-modelling risk-models risk-assessment insurance p-value alpha-value random-forest kaggle-life-insurance
Language:Python 11
waihongchung / dress
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
risk-ratio logistic-regression linear-regression polynomial-regression receiver-operating-characteristic backward-elimination forward-selection csv-parser predictive-analysis descriptive-analysis machine-learning imputation knn random-forest gradient-boosting neural-network
Language:JavaScript 5
Sarthak-Mohapatra / Classification-of-tumors-in-Human-Breast-as-Bening-or-Malignant-using-ML-Algorithms.
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.
feature-selection backward-elimination logistic-regression-algorithm svm random-forest neural-networks svm-kernel jupyter-notebook python rstudio cancer-prediction normalization exploratory-data-analysis
Language:Jupyter Notebook 3
AnnaShestova / multiple-linear-regression-with-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.
multiple-linear-regression regressor onehotencoder sklearn backward-elimination r python3
Language:Python 1
clorischen-mz / Public-Health-Infrastructure
Built 20 multivariable logistic regression models to analyze the relationships between variables of local public health infrastructure and best practices
rstudio backward-elimination bivariate-analysis exploratory-data-analysis multivariate-regression datascience
Language:R 1
hayriyeanill / ChessGameWinnerPrediction
Classification with Feature Selection and Extraction Methods
machine-learning classification-models backward-elimination forward-selection pca lda
Language:Python 1
LeenAlnajjar / Forecasting-carbon-dioxide-Emissions-levels-in-Jordan
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
arima-forecasting backward-elimination decision-trees forward-selection linear-regression
Language:Jupyter Notebook 1
LeenAlnajjar / Life_Expectancy
Multiple linear regression has been used in order to provide a predictions regarding the common factors that affect the life expectancy.
backward-elimination multiple-linear-regression
Language:Python 1
memudualimatou / LOAN-STATUS-LOGISTIC-REGRESSION
logistic-regression roc-curve backward-elimination
Language:Jupyter Notebook 1
riju18 / Bangladesh_malnourished_child_identification
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.
python3 jupyter-notebook anaconda machine-learning-algorithms artificial-neural-network backward-elimination
Language:Jupyter Notebook 1
sudarshan-koirala / Startup-selection-to-invest-using-ML-model
Selecting the best startup to invest by analyzing the profit and its expense in different fields using the Multiple Linear Regression
multiple-linear-regression backward-elimination machine-learning data-science
Language:Python 1
akankshagpt18 / Multiple_Regression
multiple regression-models backward-elimination dimensionality-reduction python-3 scikitlearn-machine-learning
Language:Jupyter Notebook 0
NaumanAnwar97 / Feature-Selection
Feature Selection Using Python (Forward Selection and Backward Elimination)
backward-elimination feature-extraction feature-selection forward-selection python unsupervised-learning wrapper-methods
Language:Jupyter Notebook 0
nnguy072 / Feature-Selection
Uses nearest neighbor algorithm to find which feature is the best indicator for a certain class attribute
backward-elimination forward-selection nearest-neighbor-search python stats
Language:Python 0
SantiagoMorenoV / 50-Startups-Multiple-Reg
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.
backward-elimination multiple-linear-regression-model akaike-information-criterion catools ggplot2 matplotlib numpy pandas ptyhon r seaborn sklearn-library statsmodels step-function
Language:Jupyter Notebook 0
woodsman1 / ML-Models
backward-elimination linear-regression k-nearest-neighbor-classifier
Language:Jupyter Notebook 0
yingzima / Stock-Market-Prediction
Analysis of the Underlying Dynamics in the Stock Market: Stock Price of Southwest Airlines and Its Relationship with Other Stocks in the Market
linear-regression polynomial-regression r time-series backward-elimination variable-selection
Language:R 0
AkashSDas / classify-benign-or-malignant
Classification model that can predict whether a tumor is Benign or Malignant.
backward-elimination classification eda kaggle kaggle-dataset recursive-feature-elimination tumor
Language:Jupyter Notebook
AkashSDas / classify-customer-churn
Classification model to classify whether a customer is going to churn or not. Using the dataset EDA is done.
kaggle kaggle-dataset backward-elimination outliers outliers-detection classification eda
Language:Jupyter Notebook
manesioz / Multiple-Linear-Regression-Model
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.
multiple-linear-regression machine-learning backward-elimination finance optimization python
Language:Python
MvMukesh / FeatureSelection-Framework-ML
Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models
backward-elimination feature-evaluator feature-generation feature-sebset-search-process feature-weighting-methods filter-methods forward-backward-algo forward-selection hybrid-methods machine-learning random-exponential-sequential recursive-feature-elimination relevance-based-feature-ranking search-organisation wrapper-methods
saikrishnaj97 / Linear_and_RandomForest_Regression
The goal of this assignment is to gain practical experience of performing regression on a small but realistic dataset, using a machine learning package.
randomforest-regression machine-learning scikit-learn linear-regression backward-elimination
Language:Jupyter Notebook
Shriyaak / Regression-Techniques-Model-Evaluation
In this repository, I have explored various regression algorithms. The code is currently incomplete as I am still working on finalizing it.
backward-elimination multiple-linear-regression polynomial-regression regression simplelinearregression support-vector-regression--svr
Language:Jupyter Notebook
zimmshane / Feature-Selection-and-NN-Classifier
A Python implementation of feature selection algorithms using k-Nearest Neighbor classification. This project implements three different search strategies for finding optimal feature subsets: Forward Selection, Backward Elimination, and Simulated Annealing.
ai backward-elimination classification cli command-line feature-selection forward-selection leave-one-out mit-license nearest-neighbors nearest-neighbours-classifier simulated-annealing validator
Language:Python

backward-elimination

talhahascelik / python_stepwiseSelection

cumbof / chopin2

VaibhavAbhimanyooHiwase / Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

waihongchung / dress

Sarthak-Mohapatra / Classification-of-tumors-in-Human-Breast-as-Bening-or-Malignant-using-ML-Algorithms.

AnnaShestova / multiple-linear-regression-with-backward-elimination

clorischen-mz / Public-Health-Infrastructure

hayriyeanill / ChessGameWinnerPrediction

LeenAlnajjar / Forecasting-carbon-dioxide-Emissions-levels-in-Jordan

LeenAlnajjar / Life_Expectancy

memudualimatou / LOAN-STATUS-LOGISTIC-REGRESSION

riju18 / Bangladesh_malnourished_child_identification

sudarshan-koirala / Startup-selection-to-invest-using-ML-model

akankshagpt18 / Multiple_Regression

NaumanAnwar97 / Feature-Selection

nnguy072 / Feature-Selection

SantiagoMorenoV / 50-Startups-Multiple-Reg

woodsman1 / ML-Models

yingzima / Stock-Market-Prediction

AkashSDas / classify-benign-or-malignant

AkashSDas / classify-customer-churn

manesioz / Multiple-Linear-Regression-Model

MvMukesh / FeatureSelection-Framework-ML

saikrishnaj97 / Linear_and_RandomForest_Regression

Shriyaak / Regression-Techniques-Model-Evaluation

zimmshane / Feature-Selection-and-NN-Classifier