Writings
Explaining Articles using LLMs
Natural Language Processing is the backbone of Language Models. They are used in a variety of tasks such as Machine Translation, Text Summarization, Question Answering, etc. This writing tries to understand how LLMs can be used to explain news articles by using the pre-trained LLMs exposed on APIs such as OpenAI and GPT3.5 and how they can used for the task of article summarization, keyword generation, etc.
Credit Risk Modelling
With the increasing volume and complexity of fraudulent activities, traditional rule-based systems have proven to be inadequate in effectively detecting and preventing credit card fraud. However, machine learning algorithms offer a promising solution. This writing will delve into the data pre-prcessing techniques, some machine learning approaches that can be employed in credit risk modelling for risk classifications.
Steamgestion - A Data Ingestion Pipeline
Steamgestion is a data ingestion pipeline which replicates how large scale data values are ingested. This writing is a curation of my learnings and efforts throughout my Distributed System Design course where Steamgestion was delivered as a final project. It is a walkthrough of the project, the architecture, the environment setups, technologies used, and finally the results obtained in the project.
Processing Image Advertisements for Contextual Analysis
Targetting the right audience is the key to success for any business. Therefore, using the right advertisements is crucial. Knowing the context of the advertisement is important to target the right audience where deep-learning comes into picture. This writing is a walkthrough of my project in Image Processing course where deep learning was used to process image advertisements for contextual analysis.
Lung Disease Classification using Chest X-rays
This writing is a comprehensive analysis of my learnings and the collaborative efforts of my team throughout the Applied Artificial Intelligence course illustrating the use of deep learning architectures for classifying thoracic diseases as a final project. It contains a brief writing of the project, dataset used, models employed, the results and visualization involved throughout the project.
EEG Signal Analysis
EEG signals can be used to detect the mental state of a person which can have applications in machine learning. So, to introduce ourselves to EEG, this writing provides a short introduction to EEG Signal Analysis using MNE library and describes the setup, the data preprocessing, data visualization and segmentation into epochs.
Sneak peak into Software Project Management
This writing is an end-to-end visual of my journey in Software Project Managment course that shows how Software Project Managment is continous process done by Project Managers, how deliverables are measured in terms of story points, how the time estimation for tasks is done and how to manage a team with diverse skill sets.
This writing tries to provide some fundamental instructions for establishing a development environment on a fresh Mac. Whether you possess programming expertise or not, this resource is designed for universal use as a reference to configure your environment or install languages/libraries.