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  • šŸ‘‹ Hi, Iā€™m @rppradhan08
  • šŸ‘€ Iā€™m interested in everything AI and ML related
  • šŸŒ± Iā€™m currently working as an Machine Learning Engineer @ GEMBO
  • šŸ“« How to reach me @Linkedin

Raj Praveen Pradhan's Projects

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

bike-rental-analysis icon bike-rental-analysis

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.

car_price_prediction icon car_price_prediction

Web based application to predict resale value of a car using regression based ML algorithm.

face-mask-detection icon face-mask-detection

This application uses OpenCV and CNN for detecting whether the person is face-mask or not.

heart-failure-pred icon heart-failure-pred

Comparing various ML based classification models to predict probability of heart failure based on patient's attributes suffering from CVDs

lead-scoring-casestudy icon lead-scoring-casestudy

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.

ml-lessons icon ml-lessons

Intro to deep learning for medical imaging lesson, by MD.ai

mri_t1_t2_cyclegan icon mri_t1_t2_cyclegan

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.

pneumonia-detection icon pneumonia-detection

Web application using flask framework to detect pneumonia. The CNN model was build and trained using Keras API.

resume-segmentation icon resume-segmentation

In this project NLP is used to preprocess resumes and segregate then based on its content.

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