nhansen24/UCI_BreastCancer

UCI Breast Cancer Dataset - ML Pipeline Project

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PrusWielki/ccg-logistic-regression

Cyclic Coordinate Descent for Logistic Regression with Lasso regularization

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klov14/CreditRisk

Credit Risk assessment

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lokk798/House-Prices-Regression

House prices prediction using various regression models.

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DeepraMazumder/Bike-Sharing-Count-Prediction

A Machine Learning project to predict bike-sharing counts using regression models, including linear, polynomial, and regularized techniques

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AmbreenMahhoor/Lasso-Regression

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Brinthat/World-Development-Indicators

Exploring World Development Indicators: Identifying relationship between Health Indicators using Linear Regression & Classification of Income Group based on Health Indicators using Logistic Regression.

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Srking501/mas8404_coursework

A summative coursework for MAS8404 Statistical Learning for Data Science

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Scrayil/Air-Quality-Prediction

The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.

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AtharvaKulkarniIT/ParkinsonsTelemonitoringInsights

This R-based data science project on the UCI Parkinson's dataset employs machine learning (Decision tree, Random Forest, SVM, XGBoost) with a focus on hyperparameter tuning and feature selection. This repository showcases insights into Parkinson's disease prediction using effective data science practices.

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pavanreddy2307/Regression_models

Explore various regression models including univariate and multivariate linear regression, along with regularization techniques such as Ridge Regression and Lasso Regression. This repository contains Jupyter Notebook files (.ipynb) demonstrating the implementation and usage of different regression models. Additionally, datasets used for training an

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bharghavs/Customer-Interest-in-Purchasing-Insurance---Logistic-Regression

Logistic Regression with Ridge and Lasso

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smm1999/TFM

This repository serves as a platform to upload new code updates for my Master's Thesis (TFM), focused on the utilization of both supervised and unsupervised models on a dataset extracted from Spotify. It also includes a small fragment of my thesis. For more information, please contact me at:

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quanmai/UoA-MachineLearning

My submission for Machine Learning course, University of Arkansas

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Develop-Packt/Investigating-Company-Bankruptcy

Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling

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