Day 3 of 50 Days of ML: Data Cleaning Overview
There is no such thing as a perfect dataset. Perhaps there's one in heaven, but we're here on Earth.
Jul 5, 20253 min read
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Why Leetcode?
Something about opening the leetcode.com website and staring at the problem description annoys me. I find it quite a waste of time trying to solve questions that don’t directly map 1:1 to the work I do. So, I often end up procrastinating (just like h...
Jun 27, 20252 min read
Day 2 of 50: Diving into Vector Databases
What are vector databases? In simple words, vector databases are similar to traditional databases, as in they store data. However, the difference is that they store vectors and can be leveraged to do quick similarity searches for vectors. For example...
Jun 20, 20252 min read
Day 1 of 50: Data Preprocessing
Hello again! I’m following Avik’s Day 1 template for my 50 Days of ML Challenge. This module covers the basics of data importing, preprocessing, and feature scaling. For the dataset used in my code, I reused a dataset that I created for one of my cou...
Jun 18, 20252 min read
Day 0: 50 Days of ML Challenge
Hello again! I’m starting the 50 days of ML challenge to further my knowledge of machine learning. Follow along if you would like to learn together. I’m following Avik Jain’s roadmap. Find the link to the repository here: https://github.com/Avik-Jain...
Jun 17, 20251 min read
Data Fundamentals
Sharing my notes from the Data Fundamentals course so that anyone interested can learn along and find it useful :) Data Formats Structured Structured data has a fixed schema and its entries are typically tabular. Think, SQL tables. Semistructured ...
Jun 14, 20253 min read
Adversarial Machine Learning 101
As a part of my research position, I wrote an article on adversarial machine learning from a policymaker's perspective. Find the blog post here: Safeguarding AI: A Policymaker’s Primer on Adversarial Machine Learning Threats - R Street Institute
Apr 9, 20241 min read
MapReduce - Application of Distributed Systems
This blog post is a high-level overview of how MapReduce works and how some of the concepts from my previous blog post on distributed systems can be seen applied in MapReduce. What is MapReduce? MapReduce is a computational model that was developed b...
Jan 20, 20243 min read
Introduction to Distributed Systems
I was introduced to distributed systems through my OS course. I found it fascinating to understand how the power of multiple computers is harnessed to carry out large-scale computations and store data across multiple different servers. Through this m...
Jan 11, 20246 min read