Time Complexity Analysis with Big O Notation

💡In this blog post, we will focus on understanding the math behind

Cost Function in Linear Regression

A cost function is nothing but a measurement of how good or

Stemming and Lemmatization in Natural Language Processing

Stemming and lemmatization are common text preprocessing techniques used in Natural Language

Underfitting vs. Overfitting

A common challenge in Machine Learning (ML) is underfitting and overfitting. These

Understanding Cosine Similarity

Cosine similarity is used to measure how similar things are. Mathematically, it&

Detecting Outliers using the Interquartile Range (IQR)

Outliers are data points that are significantly distant from the other data

K-Nearest Neighbors (KNN) Algorithm for Supervised Machine Learning

💡In this blog post we will focus on using the KNN algorithm

Term Frequency-Inverse Document Frequency

Term Frequency-Inverse Document Frequency (TF-IDF) is a measure of: * How many times

Symmetric vs. Asymmetric Encryption

The main purpose of encryption is to convert human-readable plaintext into ciphertext

API Rate Limiting

API Rate Limiting is used to limit the number of requests a

Why is API Versioning Important?

An API can change in many different ways. For example, a property

Cache REST Constraint

There are 6 REST architectural constraints. Let's talk about the