Name: Susanta Mondal
Type: User
Company: IBM,Blockchain & Climate Institute(Non-for-profit) ,Susanta Mondal is a Data Scientists /Artificial Intelligence Practitioner @ IBM and Non-for-profit (BCI) ,Technical Researcher @BrainSightAI
Bio: Lead Technical Architect,Data Scientists /AI/ML @ IBM and BCI ,Technical Researcher @BrainSightAI
Location: Leamington Spa, Warwickshire,United Kingdom
Susanta Mondal's Projects
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
In this article we present a few plausible paths to develop a technological solution to the problem of fake news.
Beiwe is a smartphone-based digital phenotyping research platform.
A Natural Language Processing (NLP), Machine Learning and Data Mining project, which will automate the screening process before hiring a professional or can be used in psychiatry to check effectivity of patient therapy.
Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it
UK Coronavirus (COVID-19) Machine Learning Prediction
Credit risk analysis in financial institutions
Digital Phenotyping student project
Predicting whether a DNA sequence region is binding site to a specific transcription factor.
What is Enterprise Architecture (EA)
Fashion Products Recognition using Machine Learning.
Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask
Data processing and regression for an academic research study on whether the rise in coastal flood risk is capitalized in real estate prices.
GitOps Foundations
GitOps Foundations
Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life.
My First Repository
UiPath Orchestrator PowerShell cmdlet library
This open source project is for using machine learning for detection and treatment of Parkinson
The repository for code and documentation produced by the N3C Phenotype and Data Acquisition workstream
AIML Online Capstone - Pneumonia Detection Challenge
Automatic investment analysis of real estate listings using datamining and python.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
This repository will contain all my machine learning analysis related to different day to day usecases
Single Shot MultiBox Detector in TensorFlow
In the UiPath Attended Robot Framework you can find a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "Deep Face Recognition" from the Visual Geometry Group at Oxford. The framework allows you to add an extra layer of security in attended scenarios. In order to do that the robot will ask your name and to take few photos. The model gets trained based on the photos provided.
UiPath workflows covering range of topics
Docs for Watson Visual Recognition