This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.

Classify candidate exoplanets using various machine learning models like Random Forest, KNN, Logistic Regression and SVM

This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

Identify the most efficient machine learning model to identify potential donors. Project covers Linear Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, Support Vector Machines and Ensemble Methods.

A sentiment analysis using SPAM/HAM Text Classification data using Support Vector Machines. Utilizes different variations of the Synthetic Minority Oversampling Technique (SMOTE-SVM, SMOTE-KNN).

Analytic comparison between multiple classifiers for predicting the mortality outcome of Covid-19 patients.

Stanford's Machine Learning course on Coursera

Using data from the Human Activity Recognition to predict correct and incorrect position of the Unilateral Dumbbell Bicep Curls.

SVM_ML

University of Utah—MKTG 6600: Business Algorithms | Taken: Fall 2020

University of Utah IS 6482 - Data Mining - Taken: Spring 2020

used the 'Breast Cancer Wisconsin (Diagnostic) Database', as source for the ML model, to predict if a cancer is either Benign or Malignant, based on many features.

Machine Learning Project to build an algorithm which identifies Enron Employees who may have committed fraud based on the public Enron financial and email dataset.

Comparison of several different models for identification of refugee locations following the 2010 Haiti Earthquake.

A model comparison of Support Vector Machines and Random Forest Classifiers to predict the likelihood of an individual receiving the H1N1 vaccine. Utilizes LASSO Regression for feature reduction.

Aplikasi Skripsi

SVM jupyter notebook

Practical Artificial Intelligence code

Comparing support vector classifier and neural network on the Iris dataset.