Welcome to my blog page! Here you can explore various articles I've written, showcasing my insights in Data Science, Machine Learning, and Business Analytics. Select a blog to read more:

Introduction to Machine Learning

A beginner-friendly guide to understanding the basics of machine learning, including types of learning, common algorithms, and key concepts.

Deep Learning vs Machine Learning

An in-depth comparison of deep learning and machine learning, exploring their differences, use cases, and when to use each approach.

Feature Engineering for Machine Learning

Learn how to create effective features to improve the performance of your machine learning models, with practical examples and techniques.

Regularization Techniques in Machine Learning

An overview of L1, L2, and other regularization techniques to prevent overfitting and improve generalization in models.

Evaluating Machine Learning Models

A guide on different evaluation metrics for classification and regression models, helping you to choose the right metric for your problem.

Each blog post demonstrates the application of knowledge gained from my studies at Emory and CMU, as well as my professional experiences. Feel free to explore and reach out if you have any questions!