---
title: "Sukrit Deb (@sukrit00) | Hashnode"
description: "An average explorer. Read the latest articles by Sukrit Deb on Hashnode."
url: "https://hashnode.com/@sukrit00"
---

@sukrit00

# Sukrit Deb

@sukrit00 · Joined September 2025

An average explorer.

### [Understanding the Difference Between np.random.rand() and np.random.randn() in NumPy](https://sukrit00.hashnode.dev/understanding-the-difference-between-nprandomrand-and-nprandomrandn-in-numpy?utm_source=hashnode&utm_medium=feed)

Learn the differences between NumPy's np.random.rand() and np.random.randn() for generating random numbers.

2 min read · [sukrit00.hashnode.dev](https://sukrit00.hashnode.dev/understanding-the-difference-between-nprandomrand-and-nprandomrandn-in-numpy?utm_source=hashnode&utm_medium=feed)

[Sep 22, 2025](https://hashnode.com/posts/understanding-the-difference-between-nprandomrand-and-nprandomrandn-in-numpy/68d1165cb5bce996416096db)

### [Why we use fit\_transform() for Training Data but only transform() for Testing Data](https://sukrit00.hashnode.dev/why-we-use-fittransform-for-training-data-but-only-transform-for-testing-data?utm_source=hashnode&utm_medium=feed)

When you start working with machine learning pipelines, one of the first things you’ll notice is that we often write code like this: from sklearn.preprocessing import StandardScaler scaler = StandardScaler() # Training set X\_train\_scaled = scaler...

3 min read · [sukrit00.hashnode.dev](https://sukrit00.hashnode.dev/why-we-use-fittransform-for-training-data-but-only-transform-for-testing-data?utm_source=hashnode&utm_medium=feed)

[Sep 17, 2025](https://hashnode.com/posts/why-we-use-fittransform-for-training-data-but-only-transform-for-testing-data/68caefe7904cde8f3e033c20)