Soft Computing project, Software Engineering and Information Technologies, Faculty of Technical Sciences, Novi Sad, 2019
Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
Pattern Recognition, NYCU. Homework 4
A basic project to build the classification model with SVM (Support Vector Machine)
This analysis aims to determine the best model for predicting the electrical energy output. The evaluation metric used was the determination coefficient (R-squared).
Run three different classification algorithms for explaining whether region's economies grew by more than 5% based on the data provided. Standard goodness measures for classification algorithms also included.
Add a description, image, and links to the sklearn-svm topic page so that developers can more easily learn about it.
To associate your repository with the sklearn-svm topic, visit your repo's landing page and select "manage topics."