support vector machines udacity assignment

machine-learning octave neural-networks linear-regression logistic-regression multi-class-classification support-vector-machines k-means-clustering principal-component-analysis anomaly-detection recommender-systems

Kaggle challenge asking to classify comments on their toxicity content.

Kaggle Competition

Term project for Image Analysis, CS484, in Fall 2016 at Bilkent University

Classification of project reports in classes accepted or rejected using various machine learning classification algorithms on Doners Choose dataset.

Support Vector Machine

Machine learning classifier for cancer tissues

Capstone project #2 for the Harvard University Professional Certificate in Data Science

📟 A technology for storing and analyzing biometric data

This repository contains some classification algorithms which predicts the movement of the mid-price for a pair of currencies namely INR and USD.

Andrew Ng: Machine Learning - Assignments in Python

A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.

Movie review sentiment analyzer using SVM and ReactJS. Uses FastAPI as API framework.

TakenMind Global Internship Program is recognized under United Nations Sustainable Development and Growth (SDG) and is a highly recognized International Certification Program. - Reference Link to the United Nations SDG #26437 TakenMind Program. TakenMind (powered by United Nations SDG Program) is offering a Global Internship in Data Analytics an…

Support Vector Machines for classification in the famous Iris and Mushroom datasets. Kernels used for the SVM are linear, polynomial, and radial.

Predicted the imbd rating of the movie using machine learning algorithm and Neural Network

This is to demonstrate how support vector machines can be used for a classification problem in machine learning. It will help to understand the basic steps in developing SVC model and verifying the prediction accuracy.

The intuition behind this project is to Recognize Human Activity using Waist-mounted smartphone with an embedded inertial sensor. The objective is to classify activities into one of the six activities performed. The Dataset is collected from kaggle.com

Jose Portilla's Bootcamp.