Ben Boby's repositories
benbobyabraham
My info
django_app
My first django app
heart_disease_classification_project
Classification project if person has any sort of heart disease or not based on several biological and habitual features
heart_failure_prediction_dataset_kaggle
Heart Failure Prediction using the dataset from kaggle
ibm-interview-data_science_challenge-digital-media-campaign-clicked-through-rate
Digital media campaign click thorugh rate classification project for IBM technical round Data Science challenge
Naive_Bayes-heart_disease_uci_classification
Heart Disease classification project from medical data
benbobyabraham.github.io
Personal Portfolio Website
kaggle-customer_churn_prediction_2020
Customer churn Prediction kaggle project - https://www.kaggle.com/c/customer-churn-prediction-2020/overview
kaggle-store_sales_time_series_forcasting
Use machine learning to predict grocery sales using time series forcasting
blockchain_playlist
Blockchain and decentralized applications
cal.com
Scheduling infrastructure for absolutely everyone.
carbonsteps
A flutter-django fullstack application for measuring carbon footprint
fullstack_flutter_django_todo
This is a basic todo app with flutter for the frontend and ui and django and sqlite for the backend and db
java_gui_application
Java application with GUI
jokerportfolio
A minimalist Jekyll theme for building a personal portfolio site powered by Jekyll and GitHub Pages
machinelearning_project_workflow_seminar_ntt
This is the material for the seminar i did for the cdts team at ntt for a machine learning project workflow
npm-frst-pkg
This is my first npm package.
pmi_stakeholder_app
PMI stakeholder application for Let's jam competition
PyBay
New website for PyBay at pybay.org starting in 2024
quizcli
Cli tool build in node as an npm package
react-google-chart
A demo app for data visualization using google charts in react app using react-google-charts package
react_firebase_messenger
A messaging web application created using react frontend and firebase backend
telecom-churn-ml-project
In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. For many incumbent operators, retaining high profitable customers is the number one business goal.To reduce customer churn, telecom companies need to predict which customers are at high risk of churn.
upgrad_lead_scoring_case_study
This is the repository for upgrad team case study on the topic of lead scoring for marketing funnel optimization.