Evaluating performance of supervised learning algori¡ithms in datasets with different structure
-
Updated
May 13, 2024 - Jupyter Notebook
Evaluating performance of supervised learning algori¡ithms in datasets with different structure
My 2024 supervised learning algorithms for predicting the price of condo real estate in Manhattan, NY (10282 zip-code)
An Comparative Analysis of Various Supervised Classification Algorithms for Predicting Diabetes Disease.
My Python machine learning 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities for London, UK.
My Python machine learning 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities for New York City.
My Python data science 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in Chicago, IL.
My 2024 supervised learning algorithms for predicting the price of single family real estate in Plymouth, MA
My R data science 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in Chicago, IL.
Developing Supervised Learning Models Using pandas, numpy, sklearn, seaborn, matplotlib
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
It consists of basic concepts of Machine-Learning with its algorithms.
Picture Fuzzy Soft k-Nearest Neighbor
The code in this repository corresponds to exercises, projects, and examples covered in the respective courses of the Machine Learning Specialization. The goal is to review and reinforce the concepts learned during the specialization.
This repository contains machine learning programs in the Python programming language.
Variable Importance Plots (VIPs)
This repository features a predictive model aimed at income prediction, classifying individuals into two categories: ">50k" or "<=50k" based on various features. The model is designed to assist in demographic and economic analysis, aiding in the identification of individuals with higher income potential
This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing
I use a self-implemented Trust-Region-Method to solve the optimization problem and calculate the accuracy based on test data
Diabetes Prediction using Machine Learning
This repo has Machine Learning project
Add a description, image, and links to the supervised-learning-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the supervised-learning-algorithms topic, visit your repo's landing page and select "manage topics."