Pratap Roy Choudhury's Projects
To develop and optimize search algorithm to solve (1) Rotational puzzle board (2) Finding optimal routes, distance, time and cost factor for a trip between two locations and (3) Selecting a team of members
Develop search algorithm in python to navigate through a grid and to find a creature present in the grid playing hide and seek :)
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Built book recommendation system suing collaborative filtering approach
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
A use case to classify characters and solve equation from image using CNN.
Developed an image classification model which would efficiently identify whether the welding done by the robotic machines are good or defective
Implementation of the easiest version of KNN algorithm from scratch
Non-credit online course by DeepLearning.AI
What are the key technical issues and problems faced by the Apple product consumers? What are the different emotion trends of the people throughout the year regarding various Apple products and services?
Risk analysis on the loan portfolio and customer segmentation using statistical tests and clustering models to optimize promotion.
What are the peopleโs reactions and sentiment regarding Joe Biden running for the President of the United States of America?
Analyzing and predict stock performance and real estate prices utilizing Linear regression and Hypothesis testing with Stats model.
This project report presents the results of a metadata visualization study conducted on relevant competitions hosted on Kaggle related to the HuBMAP (Human BioMolecular Atlas Program) project. HuBMAP aims to create a comprehensive map of the human body at a single-cell level to improve our understanding of human health and disease.
Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.