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.

Language: Python - Size: 8.22 MB - Last synced: 6 days ago - Pushed: almost 6 years ago - Stars: 12 - Forks: 6

cumbof/chopin2

Domain-Agnostic Supervised Learning with Hyperdimensional Computing

Language: Python - Size: 35.1 MB - Last synced: 24 days ago - Pushed: 3 months ago - Stars: 9 - Forks: 1

woodsman1/ML-Models

Language: Jupyter Notebook - Size: 230 KB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 190 KB - Last synced: 3 months ago - Pushed: about 4 years ago - Stars: 3 - Forks: 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

Language: R - Size: 6.84 KB - Last synced: 4 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

talhahascelik/python_stepwiseSelection

Automated Backward and Forward Selection On Python

Language: Python - Size: 188 KB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 56 - Forks: 20

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

Language: Python - Size: 6.84 KB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 1 - Forks: 1

NaumanAnwar97/Feature-Selection

Feature Selection Using Python (Forward Selection and Backward Elimination)

Language: Jupyter Notebook - Size: 447 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

MvMukesh/FeatureSelection-Framework-ML

Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models

Size: 319 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 2.93 KB - Last synced: 10 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 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.

Language: Jupyter Notebook - Size: 798 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 854 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

LeenAlnajjar/Life_Expectancy

Multiple linear regression has been used in order to provide a predictions regarding the common factors that affect the life expectancy.

Language: Python - Size: 1.29 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

hayriyeanill/ChessGameWinnerPrediction

Classification with Feature Selection and Extraction Methods

Language: Python - Size: 2.64 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

memudualimatou/LOAN-STATUS-LOGISTIC-REGRESSION

Language: Jupyter Notebook - Size: 98.6 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1

AkashSDas/classify-customer-churn

Classification model to classify whether a customer is going to churn or not. Using the dataset EDA is done.

Language: Jupyter Notebook - Size: 2.53 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

AkashSDas/classify-benign-or-malignant

Classification model that can predict whether a tumor is Benign or Malignant.

Language: Jupyter Notebook - Size: 614 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 855 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

nnguy072/Feature-Selection

Uses nearest neighbor algorithm to find which feature is the best indicator for a certain class attribute

Language: Python - Size: 110 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1