4- Data Scaling 102: Beyond the Basics, Exploring RobustScaler, MaxAbsScaler and Other Scaling Methods

posted on 20 Dec 2024

Scaling is an important step in preparing data for machine learning, which ensures that all features contribute equally to the performance of the model. In my previous article, Data Scaling 101: StandardScaler vs MinMaxScaler, we have seen why scaling matters and compared two popular methods. But is scaling really just about StandardScaler and MinMaxScaler?

3- Data Scaling 101: StandardScaler vs MinMaxScaler in Machine Learning

posted on 28 Nov 2024

Imagine trying to compare an IELTS score of 7 with a TOEFL score of 50. Without understanding that these exams have completely different scaling systems, any comparison would be meaningless. The same principle applies in Machine Learning: if your features are on different scales, your model can’t make fair comparisons, and your results will suffer.

2- How Was My First Steps in Machine Learning: Lessons and Surprises

posted on 11 Nov 2024

As someone with a background in industrial engineering, I had always been attracted by solving complex problems and searching for the way to enhance the efficiency of systems. When I, about a year ago for the first time, started exploring machine learning, I knew it was a powerful tool with enormous potential, though at that time, I did not realize fully how it would expand my perspective. It has been an exciting journey, challenging and full of unexpected lessons. In this post, I’ll share a bit about what I’ve learned and some surprises that came along the way.

1- A Journey into the World of Soroush and Beyond!

posted on 2 Nov 2024

Hello, and welcome to my World!
I’m so glad you’re here. This blog marks the start of something I’ve wanted to create for a long time—a space to connect, share, and explore. In a way, this is my online home, a place where I can introduce myself and give you a glimpse of what am I doing.