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

The purpose of this assignment is to apply Linear Regression, Logistic Regression, Support Vector Machine, MultiLayer Perceptron models with regularisation techniques (ridge regression, lasso, elastic net) on Boston Housing Price data set and default of credit card clients data set.

Machine Learning: Supervised SVM Algorithms for Disease Classification using Gene Expression Profiles | SSC Case Study

This repository contains various assignments that I have done as a part of the Machine Learning course.

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

An introduction to support vector machines in R

svm approach to predict the tolerance rates in bacterial infections. It uses eps-regression.

Using machine learning algorithms like support vector machines, artificial neural networks and random forest to predict airline customers satisfaction

Usage of string kernels as part of a project for the course Kernel-Based Machine Learning and Multivariate Modeling

An analysis of the time spending habits of American consumers.

This scripts tries to predict the bioactivity of 131 compounds related to Aspartate Racemase enzyme with the aid of decision trees and SVM

Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.

Imbalanced classification with loan clients dataset.

Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R

Performed segmentation analysis and predictive modeling on insurance broker performance to conclude a random forest model (highest AUC of 73%) predicted whether 2020 Gross Written Premium will increase or decrease from 2019 with a misclassification rate of 35%. Four classification models (classification trees, logistic regression, random forests…

Analytics Vidya practice dataset for loan prediction

Classification of Bankruptcy Database to Perform Classification with Machine Learning

Chapman University CS-510 Computing For Scientists Final Project

Mental health after a free time sport accident

Tools created for machine learning classification model evaluation