Raj Praveen Pradhan's repositories
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
Web application using flask framework to detect pneumonia. The CNN model was build and trained using Keras API.
Car_Price_Prediction
Web based application to predict resale value of a car using regression based ML algorithm.
face-mask-detection
This application uses OpenCV and CNN for detecting whether the person is face-mask or not.
resume-segmentation
In this project NLP is used to preprocess resumes and segregate then based on its content.
rfm-segmentation
Behavioral segmenting customers of online retail store based on Recency-Frequency-Monetary (RFM) metrics and K-Means clustering.
sales-insight
Business sales insight case study using Tableau, which is connected to a MySQL data source. Once ETL is performed, Tableau is used to create visualizations to empower data-driven decision-making.
Best-README-Template
An awesome README template to jumpstart your projects!
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.
cat-dog-classifier
Implementing cat-dog classifier using transfer learning and custom CNN model.
deeplearning-specialization-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
electron-markdownify
:closed_book: A minimal Markdown editor desktop app
interview-prep
Resource material for interview preparation.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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-models-from-scratch
Building machine learning models from scratch.
portfolio-website-html
This is a simple portfolio website created using HTML.
Public-APIs
📚 A public list of APIs from round the web.
rppradhan08
Config files for my GitHub profile.
sales-forecasting
Developed a sales forecasting model using Triple Exponential Smoothening.
Socio-Economic-Countries-Clustering
Clustering algorithms like K-Means and hierarchical clustering were used to identify most vulnerable countries based on their socio-economic and health situations.
telecom-churn
Used ML classifiers like Random Forest and Logistic Regression to predict churn rate with AUC score of 92%(best).