Tour of Machine Learning Algorithms for Binary/Multiclass Classification
-
Updated
Sep 16, 2019 - Jupyter Notebook
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
Iris Species Classification usin various ML models.
Data Science Project (Clustering + SVM)
An AI powered ✨ English Premier League win predictor app! 🎯
This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.
Designing a regression model to predict AirBNB listing price. Types of models used listed in topics. Models were tuned and performance was measured by Mean Absolute Error (MAE).
This project focuses on classifying pulsar stars using the Support Vector Machine (SVM) algorithm, a powerful method in the realm of supervised learning. The goal is to automate the identification process of pulsar stars from candidates collected during surveys, based on predictive modeling.
Add a description, image, and links to the rbf-svm topic page so that developers can more easily learn about it.
To associate your repository with the rbf-svm topic, visit your repo's landing page and select "manage topics."