aicrowd

The winning solution of Flatland Challenge 2020 Reinforcement Learning Track

Multi-Agent Reinforcement Learning challenge on trains re-scheduling problem (RSP) organized by the AIcrowd platform in collaboration with the Swiss Federal Railways.

Sharing my journey to be fluent in writing machine learning models for interesting datasets from competitions from kaggle , AICrowd and other ensemble of deep learning model techniques and then trying to get them to production.

First project to implement from data 2 deployment on streamlit

An AICrowd Challenge: Logistic Regression classifier that predicts whether an event's decay signature was the one of a Higgs Boson

Airborne Object Tracking challenge

Trained a classifier to count other cars on the road from a dataset containing 3D points cloud from LIDARs.