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eda (2)

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Categories

From Jekyll to Quarto: A Blog Migration Journey

web-development

Migrating a data-science blog from Jekyll/fastpages to Quarto, including theme polish, TOC fixes, and dark-mode comments.

Azure AI-102 Certification Journey - Day 2 - Plan and prepare to develop AI solutions on Azure

Study notes for the first module in my Azure AI-102 certification journey: ‘Plan and prepare to develop AI solutions on Azure’. Key concepts, services, and hands-on…

Azure AI-102 Certification Journey - Day 1 - Plan and prepare to develop AI solutions on Azure

Study notes for the first module in my Azure AI-102 certification journey: ‘Plan and prepare to develop AI solutions on Azure’. Key concepts, services, and hands-on…

Azure AI-102 Certification Journey - Introduction

Intro for my Azure AI-102 certification journey: took the official practice assessment, received a customised learning plan, and will follow recommended modules (Plan and…

Building a Sticky Table of Contents: From Spec to Implementation

web-development

spec-driven-development

A comprehensive guide to implementing a responsive, accessible sticky TOC component using spec-driven development methodology

Back from Hiatus: Jekyll Blog Security Hardening with Spec-Driven Development

spec-driven-development

How I returned to blogging by systematically resolving 12 security vulnerabilities using Kiro’s spec-driven approach, and what’s coming next

Explaining prediction models and individual predictions

Implementation of algo from Explaining prediction models and individual predictions.

Probability - d2l.ai Exercises - Part 6

d2l.ai-exercises

This notebook tries to solve the probability exercises in d2l.ai

Automatic differentiation - d2l.ai Exercises - Part 5

d2l.ai-exercises

The fifth notebook in the series solving exercises from d2l.ai, this blog tries to test and understand the working of the autodiff functionality in tensorflow

Text mining with chemical text from chemdNER

This is a take home project that I did for a company as part of their interview process.

Calculus - d2l.ai Exercises - Part 4

d2l.ai-exercises

The fourth notebook in a series to be posted aiming to solve and understand exercises from d2l.ai curriculum on deep learning

Recommending a product price for a seller

Machine Learning

This is another take home assignment that I did for a company as part of their interview process

Linear Algebra - d2l.ai Exercises - Part 3

d2l.ai-exercises

The third notebook in a series to be posted aiming to solve and understand exercises from d2l.ai curriculum on deep learning

Data Preprocessing - d2l.ai Exercises - Part 2

d2l.ai-exercises

The second notebook in a series to be posted aiming to solve and understand exercises from d2l.ai curriculum on deep learning

Data Manipulation - d2l.ai Exercises - Part 1

d2l.ai-exercises

The first notebook in a series to be posted aiming to solve and understand exercises from d2l.ai curriculum on deep learning

Gradient Descent for Linear Regression

Machine Learning

Linear Regression

Data extraction from Wikimedia dump

Tabular data modeling - with Tensorflow

In this notebook I try to use a competition dataset of log parameters of a server and classify if there was an attempt to attack the server

Mother’s day Sentiment analysis - with spaCy

In this notebook I try to use a competition dataset of tweets reacting to Mother’s day and classify their sentiments with spaCy

Mother’s day Sentiment analysis

In this notebook I explore a competition dataset of tweets reacting to Mother’s day

Building தமிழ் language model

தமிழ்

In this notebook I try to build a language model for தமிழ்(Tamil) to help in some basic NLP tasks

Testing out தமிழ் language tokenizer

தமிழ்

In this notebook I test out the sentencepiece tokenizers built previously

Wiki data extraction

Data extraction from Wikimedia dump

Building தமிழ் language tokenizer

தமிழ்

In this notebook I try to build sentencepiece tokenizers for தமிழ் language with data extracted from wiki dump

Building a Pokemon Classifier

pokemon-classifer

image-classification

Here I try to build a pokemon classifier, to understand transfer learning for image classification