Medium

Gilnapradeep

Gilnapradeep

·

Sep 27

From Linear to Lasso: How I Understand Regression Models as an ML Engineer

When I started learning Machine Learning, regression initially seemed simple.

From Linear to Lasso: How I Understand Regression Models as an ML Engineer

Gilnapradeep

·

Sep 27

How I Understand the Different Types of Machine Learning as an ML Engineer

When I started learning Machine Learning, I came across many terms:

How I Understand the Different Types of Machine Learning as an ML Engineer

Gilnapradeep

·

Sep 26

Understanding Objects in Python:

A Concept Every ML Engineer Should Know

Understanding Objects in Python:

Gilnapradeep

·

Jun 2

Lasso vs Ridge Regression: Understanding the Hidden Connection Between Manhattan and Euclidean…

Why the geometry behind regularization explains feature selection, overfitting control, and model behavior.

Lasso vs Ridge Regression: Understanding the Hidden Connection Between Manhattan and Euclidean…

Gilnapradeep

·

May 26

Lasso Regression Explained: Feature Selection and Overfitting Control in Machine Learning

A beginner-friendly guide to understanding L1 regularization, feature selection, and how Lasso Regression improves prediction models.

Lasso Regression Explained: Feature Selection and Overfitting Control in Machine Learning

Gilnapradeep

·

May 23

Ridge Regression Fast & Simple: Fix Overfitting and Handle Messy Data Like a Pro

Why standard Linear Regression breaks on real-world datasets, and how L2 regularization rescues your machine learning models.

Ridge Regression Fast & Simple: Fix Overfitting and Handle Messy Data Like a Pro

Gilnapradeep

·

May 22

Polynomial Regression: A Complete Beginner-Friendly Guide with Python Implementation

Transforming Linear Regression into Powerful Curved Predictions

Polynomial Regression: A Complete Beginner-Friendly Guide with Python Implementation

Gilnapradeep

·

May 18

How Machines Learn From Mistakes: Understanding Cost Function in Linear Regression

Machine Learning is not magic.

How Machines Learn From Mistakes: Understanding Cost Function in Linear Regression

Gilnapradeep

·

May 17

Understanding Linear Regression in Machine Learning with Real Examples

Imagine you want to predict the price of a house based on its size, number of bedrooms, and location. How can a machine learn the…

Understanding Linear Regression in Machine Learning with Real Examples

Gilnapradeep

·

May 13

Blind 75: LeetCode 53 Explained Simply — The Moment Kadane’s Algorithm Finally Clicked for Me

A beginner-friendly breakdown of the famous “Maximum Subarray” problem from Blind 75.

Blind 75: LeetCode 53 Explained Simply — The Moment Kadane’s Algorithm Finally Clicked for Me

Gilnapradeep

Gilnapradeep

BTech graduate passionate about AI, Data Science and software development, sharing projects, coding insights and lessons while learning and building solution.

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