Meemansha Priyadarshini
Meemansha Priyadarshini

Meemansha Priyadarshini

I am a certified Tensorflow Developer and I like learning about ML and AI. Following my passion of reading and writing.

Carpe diem!!

The Math Behind K-Means Clustering: A Simplified Overview

Nov 30, 20243 min read

The computer scientist Yann LeCun famously said that if intelligence was a cake, unsupervised learning would be the cake , supervised learning would...

The Math Behind K-Means Clustering: A Simplified Overview

Deciding Between Standardization and Normalization: Key Guidelines

Nov 18, 20242 min read

When working on Machine Learning projects, we often need to adjust the data to make algorithms run faster and more efficiently. This adjustment...

Deciding Between Standardization and Normalization: Key Guidelines

Difference between Sequential and Functional API

Sep 18, 20241 min read

Sequential API Layers are added sequentially, one after the other. The Sequential API does not support creating complex, branched models. It is...

Difference between Sequential and Functional API

How to Start a Machine Learning Problem

Aug 1, 20242 min read

Production Cycle of Machine Learning ยท 1. Project Scooping You should have the basic knowledge of what kind of project you are doing, whether it is a...

How to Start a Machine Learning Problem

Decision Trees Algorithm

Jul 11, 20242 min read

Decision Tree is a Supervised machine learning algorithm used for performing Classification and Regression tasks. How Decision Trees Work Suppose we...

Decision Trees Algorithm

Difference between Bagging and Boosting

Jul 4, 20242 min read

In this article you will learn about ensemble learning and why it is important for performing machine learning tasks. Ensemble learning uses...

Difference between Bagging and Boosting