This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components

A High-Performance Data Science Toolkit for the Earth Sciences

Interactive predictive analytics for Berlin's real estate market with regression and classification analyses, featuring a user-friendly GUI for selecting and visualizing different tasks, designed for Replit.

This repository stores an obesity prediction app. This application is designed to predict the likelihood of obesity based on various features such as demographic information, lifestyle habits, and medical history.

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

http://scorecast-env.eba-dixbcmhw.eu-central-1.elasticbeanstalk.com/

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

The purpose of this project is to predict student loan repayment success using a neural network. Neural networks are computational models inspired by the human brain's structure and function, consisting of layers of interconnected nodes or "neurons" that can learn to recognize patterns in data.

Analyzing Gujarat's education system with ML, we predict student dropout rates using demographic, economic, academic, and social data. Rigorous preprocessing, feature engineering, and model training aim to develop accurate dropout prediction models. Insights gained inform targeted interventions for dropout prevention.

Predictive model on employee turnover using machine learning

This project develops a predictive model for customer attrition in the telecom industry using advanced machine learning techniques to identify high-risk customers and enable proactive retention strategies.

Predict who possible Defaulters are for the Consumer Loans Product

Predict survival on the Titanic and get familiar with ML basics

This repository contains a collection of data science projects which I did during the IBM Data Science Professional certification programme. Each project demonstrates different aspects of data science, data analysis, data visualization and machine learning.

BCIT Computer Systems Technology (CST) - COMP 4949 (Big Data Analytics Methods)

BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)

BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)

How can hospitals reduce readmissions?

Um repositório em Python para armazenar códigos de exercícios da disciplina Análise de Dados e Big Data. Também, está presente o trabalho da disciplina, feito com o Jupyter Notebook.