comparing many classification algorithms (Naive Bayes, Logistic Regression, Support Vector Machine) on Spiral Data with tuning SVM's parameters with mentioning Decision Trees and K-Nearest Neighbors implementation.

Gap Classification using Machine Learning

Implementation of data exploration using ggplot, data visualization and machine learning algorithms for predictive modelling.

A multi-label classification model for classifying comments from Wikipedia talk page edits into different types of toxicity(insult, threat, identity hate, etc).

Applying predictive models on "Framingham Heart Study" dataset.

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.

The project focused on building a joint computational toolbox for credit card risk analysis. It consists of removing irrelevant attributes from dataset to get meaningful model while building decision trees from the possible subset or combination of attributes and further applying these pools of trees as an initial seed to Multi - Objective Evolu…

Exploratoy Data Analysis,Logistic Regression,Penalized Logistic Regression (LASSO), LDA, Decision Trees, Bagging, Random Forest

This repository contains the necessary scripts to derive off-target models through (1) A neural network framework based on Keras and Tensorflow (2)An autmomated machine learning framework based on AutoGluon