A website visualising various classification algorithms

Introduction to Data Science: Term Project (2021W) - Predictive Analysis

Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

This repo was developed for the blindness detection using machine learning on the image dataset.

Applied Machine Learning projects includes: a supervised machine learning model to classify emails from the given dataset as spam and not-spam. 2.

This GitHub repository showcases a collection of projects and analyses focused on machine learning using R. The repository covers a range of topics, including data cleaning, exploratory data analysis, regression modeling, clustering, and supervised classification. The project is accompanied by detailed explanations and visualizations.

This is a showcase project for a university Kaggle competition in supervised learning.

Project - Finding donors for charityML | Supervised Learning | Python | Classification | Gaussian Naive Bayse | SVM | AdaBoost

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow

Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 by Super.Complex and CORUM

This is the Machine learning Practice Project which I have completed in the course

In this project, you will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census.

Final project

project for IBM course: "Supervised Machine Learning: Classification"

The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.

Supervised algorithms are used to predict whether an individual's incoming surpasses a certain threshold. Surpassing this threshold in its turn is considered to be a good predictor for becoming a donor.

IST 707 Data Analytics Assignments

Online Transaction Fraud Detection using Machine Learning along with Web app creation using Streamlit and deployed on Heroku

Implementing multiple Supervised Algorithms to predict the Donors.