## Regression on House Prices

Linear regression is perhaps the heart of machine learning. At least where it all started. And predicting the price of houses is the equivalent of the “Hello World” exercise in starting with linear regression. This article gives an overview of applying linear regression techniques (and neural networks) to predict house prices using the Ames housing dataset.

## My Productivity Toolkit

August is fast approaching. This means that summer is about to end and school is about to begin soon. For some of you, school might have already started. And it’s time to start studying and managing stress again. Learning tough concepts, remembering when assignments are due, juggling time between school and life, pulling in an all-nighter to finish that project, and what not. In short, it’s time to become more productive.

## Ethics in Machine Learning

The ethics of how a Machine Learning (ML) or an Artificially Intelligent (AI) system is to function is a common thought that arises when we read about significant advancements in those fields. Will this sentience take over humanity? Or will it help us reach a Utopian era? It’s definitely not a binary question. But, one of the less commonly asked questions (and perhaps rightly so) is “Was this built and founded with the right virtues?”. And this question concerns less about the motivation behind building a ML system than it seems.

## HackCU III

Last week, the third edition of Colorado’s largest student hackathon, HackCU III, took place at Boulder. With nearly 400 hackers from all over US, this 24 hour hackathon is the largest one yet. And being a part of the organizing team this year was an amazing experience.

## Math-Functions and Computer Science

Over the past few weeks, I’ve been compiling some of the recurring procedures I had used to solve the first 50 problems of Project Euler. While solving these math problems, I needed to find the most efficient method to get the solution. The underlying idea to solve most these are the same and it is pretty simple. But as you proceed, the simple method you had used earlier will take a really long time to produce an answer.