Sumaiya_Hassan
sumaiyahassan.bsky.social
Sumaiya_Hassan
@sumaiyahassan.bsky.social
I learn, build, and document the journey about the things that make me curious: ML, the brain, languages, books, and creativity.
🚀 ML Notes Part 4 is Live on Medium!

"Machine Learning Notes I Wish I Had from Day 1: How to Encode Numerical Data"

Though ML models mostly need numbers, sometimes those numbers need to be converted into categories as well. Read about all here: medium.com/@sumaiyahass...
Machine Learning Notes I Wish I Had from Day 1: How to Encode Numerical Data
From the beginning of my series, I am telling you that numbers or numeric values are the only approved format for machine learning model to…
medium.com
December 8, 2025 at 8:16 PM
ML Notes Part 3 is Live on Medium!

"Machine Learning Notes I Wish I Had from Day 1: How to Encode Categorical Data"

This one's all about learning ordinal vs. one-hot encoding and how to avoid the dummy variable trap.

Read Here: sumaiyahassan.medium.com/machine-lear...
Machine Learning Notes I Wish I Had from Day 1: How to Encode Categorical Data
Now that you understand what the ydata profile report means, let’s dive into actual work, which is how to solve all our identified…
sumaiyahassan.medium.com
December 6, 2025 at 8:08 PM
ML Notes Part 2 is Live on Medium!

“Machine Learning Notes I Wish I Had from Day 1: Understanding the YData Profiling Report Step-by-Step”

This one’s all about a tool that can literally save you 50% of your data preprocessing stress. YData Profiling.

Here is the link: medium.com/@sumaiyahass...
Machine Learning Notes I Wish I Had from Day 1: Understanding the YData Profiling Report…
Before diving into YData-Profiling, let’s understand the standard workflow for building a machine learning prediction model. Here’s the…
medium.com
December 5, 2025 at 7:47 PM
My ML Notes
I have started sharing my ML notes on Medium. If you've ever thought, “ML sounds cool, but I don’t know where to start,” this series is for you. I’ll be sharing concepts, visuals, notes, examples, and real-world analogies.

Here is the link: sumaiyahassan.medium.com/machine-lear...
Machine Learning (ML), Demystified: Notes I Wish I Had on Day 1
“If you can read a gel image and understand what a p-value means, you can learn ML.”  — Probably me, at 2 a.m., after too much coffee.
sumaiyahassan.medium.com
December 5, 2025 at 7:45 PM