"Aspiring Data Scientist and AI enthusiast with a strong foundation in full-stack web development. Passionate about leveraging data-driven solutions to solve real-world problems. Skilled in Python, databases, statistics, and exploratory data analysis, with hands-on experience in the MERN stack. Open to opportunities in Data Science, Generative AI, and full-stack development."
Exploring the intersection of data science and ai
Apr 29, 2025 · 4 min read · Multicollinearity occurs when multiple features in a dataset are highly correlated with each other, impacting the performance and interpretability of machine learning models. This blog explores multicollinearity, its implications, detection methods, ...
Join discussionApr 22, 2025 · 6 min read · Linear regression is a fundamental machine learning algorithm used for predicting continuous outcomes. To assess its performance and ensure its reliability, we evaluate various metrics, understand its assumptions, and implement it within a structured...
Join discussionApr 15, 2025 · 6 min read · Below is a blog post crafted from your notes, explaining Simple Linear Regression and touching on Multiple Linear Regression, with a focus on the house price vs. area example, the cost function, best fit line, and interpretation of coefficients. I've...
Join discussionApr 13, 2025 · 5 min read · In this blog, we’ll dive into a fascinating data science project that explores student performance using a dataset from Portuguese schools. We’ll walk through the steps taken in a Jupyter Notebook to load, preprocess, and analyze the data, offering i...
Join discussionApr 12, 2025 · 5 min read · In this blog post, I’ll walk you through the steps I took to analyze a travel dataset and preprocess it for building a predictive model to determine whether customers will purchase a travel product. Using Python and popular data science libraries, I ...
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