rppradhan08

aima-python

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

aiml-gcp

Car_Price_Prediction

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

Complete-Python-Bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

face-mask-detection

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

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.

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.

rppradhan08/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.

rppradhan08/aiml-gcp

rppradhan08/Car_Price_Prediction

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

rppradhan08/face-mask-detection

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

rppradhan08/resume-segmentation

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

rppradhan08/rfm-segmentation

Behavioral segmenting customers of online retail store based on Recency-Frequency-Monetary (RFM) metrics and K-Means clustering.

rppradhan08/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.

rppradhan08/Best-README-Template

An awesome README template to jumpstart your projects!

rppradhan08/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.

rppradhan08/cat-dog-classifier

Implementing cat-dog classifier using transfer learning and custom CNN model.

rppradhan08/competition

rppradhan08/dataStructures-algorithms

rppradhan08/deeplearning-specialization-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

rppradhan08/electron-markdownify

:closed_book: A minimal Markdown editor desktop app

rppradhan08/fake-news-classifier

rppradhan08/generative-ai

rppradhan08/interview-prep

Resource material for interview preparation.

rppradhan08/introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

rppradhan08/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.

rppradhan08/ml-models-from-scratch

Building machine learning models from scratch.

rppradhan08/natural-language-processing

rppradhan08/portfolio-website-html

This is a simple portfolio website created using HTML.

rppradhan08/Public-APIs

📚 A public list of APIs from round the web.

rppradhan08/rasa-chatbot

rppradhan08/rppradhan08

Config files for my GitHub profile.

rppradhan08/sales-forecasting

Developed a sales forecasting model using Triple Exponential Smoothening.

rppradhan08/sentiment-analysis-tf

rppradhan08/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.

rppradhan08/telecom-churn

Used ML classifiers like Random Forest and Logistic Regression to predict churn rate with AUC score of 92%(best).

rppradhan08/web-development