Name: R.Shyaam Prasadh
Type: User
Company: Ford motor company
Bio: MSc. ML &
DeepMind Scholar @ UCL |
Interests: Bayesian Deep learning , Interpretability and Financial Machine learning | Alumnus: IIT Madras
Location: Chennai, India
Blog: https://sprasadhpy.github.io/
R.Shyaam Prasadh's Projects
Tools for checking ACL paper submissions
List of companies offering Machine learning and Data Science internships
Buddhabrot is the probability distribution over the trajectories of points that escape the Mandelbrot fractal.
Self-supervised learning - group project
UCL Module: Applied Deep Learning
# Wolfram mathematica notebooks for computational finance
We calculate PD,LGD,EAD and Expected loss using logistic and beta regression.
Predicting POD on Financial distress customer data
Implemented the paper Kinlaw, W., Kritzman, M., & Turkington, D. (2019). Crowded trades: Implications for sector rotation and factor timing. The Journal of Portfolio Management, 45(5), 46-57.
Deep learning Model devloped for the FORD GDIA credit analytics team
Plenary talk for the IEEE sponsored International Conference on Intelligent Systems for Communication, IoT and Security [ICISCoIS 2023]
Version 1.0
The Probability of Payment (POP) model is a risk scoring model that calculates a POP estimate for each credit contract at origination.
This repository contains image processing algorithms applied to the image of the black hole at the center of the M87 galaxy, captured by the Event Horizon Telescope (EHT). These algorithms enhance the image quality, extract features, and provide valuable insights into the structure and dynamics of the black hole and its surrounding environment.
Coursework part of the Supervised Learning Course(COMP0078)
Coursework for the COMP0080: GRAPHICAL MODELS
Sentiment analysis for finance using BLSTM and Naive Bayes
Simulations of best othello games across the globe
I suspect that the main advantage that is gained out of the opening in the normal game is slightly better mobility than one's opponent. Consolidated 81 openings
Consolidated all WipeOuts games with black takes lead in most of the games and may end up in 64-0.
Create different type of portfolsios
Research Papers published by R.Shyaam Prasadh
This repository contains SAS programs that were discussed in the SAS advance programmer certification
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
How to use the Stata Function Interface (SFI) module to copy data from Python Dataframe to Stata data editor
Coursework part of the course COMP0080: GRAPHICAL MODELS