Name: Raj Praveen Pradhan
Type: User
Bio: Data science and machine learning enthusiast, currently pursuing
Masters in Data Science from Liverpool John Moores University.
Location: Pune, Maharashtra, India
Raj Praveen Pradhan's Projects
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
SageMaker Course Material
An awesome README template to jumpstart your projects!
This case-study aims at determining key factors impacting the Bike Rental service. Thus generating additional insights for the management to team to take more proactive business decisions.
Web based application to predict resale value of a car using regression based ML algorithm.
Implementing cat-dog classifier using transfer learning and custom CNN model.
Lectures for Udemy - Complete Python Bootcamp Course
Notes for Deep Learning Specialization Courses led by Andrew Ng.
:closed_book: A minimal Markdown editor desktop app
This application uses OpenCV and CNN for detecting whether the person is face-mask or not.
Comparing various ML based classification models to predict probability of heart failure based on patient's attributes suffering from CVDs
Resource material for interview preparation.
Introduction to APIs course
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Used logistic regression to build a model to assign a score to all the leads in the dataset. X Education can rely on the model developed, to have a more efficient approach to target the potential candidates to achieve higher conversion rates and to get more people enrolling to their programs in the future.
Intro to deep learning for medical imaging lesson, by MD.ai
Building machine learning models from scratch.
This project uses an unpaired dataset consisting of TN1 and TN2 MRI scans of the brain to train a deep learning model to convert TN1 into TN2 scans and vice-versa. CycleGAN technique have been used for the unpaired image translation application.
Web application using flask framework to detect pneumonia. The CNN model was build and trained using Keras API.
This is a simple portfolio website created using HTML.
š A public list of APIs from round the web.
Real time digit classifier using python and Deep neural network.
In this project NLP is used to preprocess resumes and segregate then based on its content.