Python’s OOP Revolution
Explored how Python’s OOP features simplify code organization and scalability.
Read full →Blogs
A selection of my published articles.
The Importance of SQL
Discussed SQL's role in modern data workflows and decision-making.
Read full →Mastering Data Cleaning with Python: Pandas, Matplotlib, and Seaborn
Whether you're a data analyst, scientist, or ML engineer, the quality of your data defines the accuracy of your insights. According to IBM, poor data quality costs the U.S. economy $3.1 trillion annually. Let that sink in.
Read full →Understanding Regularization: How to Prevent Overfitting in Machine Learning Models
In the realm of machine learning, the ability to generalize well to unseen data is paramount. One of the most common challenges faced in this context is overfitting, where a model performs exceptionally well on training data but fails to replicate that performance on new, unseen data
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