Tour of Machine Learning Algorithms for Binary/Multiclass Classification
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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)
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.
An AI powered ✨ English Premier League win predictor app! 🎯
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.
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).
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."