Everyday ML
Niharika Khanna

Niharika Khanna

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Heyy folks! 👋 I'm Niharika, a curious mind delving into the world of ML and data science. Join me on my journey as I share exciting insights and discoveries.

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Mastering Feature Engineering: A Comprehensive Exploration of Concepts, Techniques, and Best Practices

May 29, 202419 min read

Feature Engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models,...

Mastering Feature Engineering: A Comprehensive Exploration of Concepts, Techniques, and Best Practices

Demystifying Logistic Regression

Mar 22, 20242 min read

Understanding the Basics, Applications, and Advantages of Logistic Regression in Data Science · Introduction: Logistic regression is a statistical...

Understanding Regression Metrics in Machine Learning: A Comprehensive Guide

Mar 21, 20245 min read

In the realm of machine learning, regression analysis serves as a fundamental tool for predicting continuous outcomes. However, merely building a...

Understanding Regression Metrics in Machine Learning: A Comprehensive Guide

Types Of Regression in ML

Mar 11, 20243 min read

Regression is a type of supervised learning algorithm in machine learning used to predict continuous numerical values based on input features. There...

Types Of Regression in ML

Embarking on the ML Journey: Day 1 with Linear Regression

Mar 1, 20242 min read

Hey there, fellow learners! Today marks the beginning of an exciting journey into the world of Machine Learning (ML). I dove headfirst into the basics...

Embarking on the ML Journey: Day 1 with Linear Regression

Challenges in Machine Learning

Feb 27, 20242 min read

Challenges in Machine Learning: Inadequate Training Data: Lack of quality and quantity of data affects ML algorithms. Noisy, incorrect, and unclean...

Challenges in Machine Learning