Exploring Distributed Systems, Machine Learning and Operations, and Engineering Management
Depth-First Search (DFS) In DFS, we start from a node and go down a path until we reach a node that has no children. Whenever we run out of moves, we backtrack and explore the sibling of the node. And if there are no siblings, we go for the sibling of the grandparent and so […]
Let me tell you about my experience with creating an AI that plays Connect 4. I took an undergraduate CS course during my Masters and we created the AI using a few algorithms. To be honest, I don’t remember all of them, but I do recall using the min-max algorithm. The AI wasn’t too difficult […]
Linear Regression is the most commonly used predictive analysis. It is used to model the relationship between a dependent variable and one or more independent variables. In this project we create an ML pipeline to train a linear regression model to predict the release year of a song given a set of audio features. We […]
Hey there! So we decided to create a Word Count application – a classic MapReduce example. But what the heck is a Word Count application, you ask? It’s basically a program that reads data and calculates the most common words. Easy peasy. For example: dataDF = sqlContext.createDataFrame([('Jax',), ('Rammus',), ('Zac',), ('Xin', ), ('Hecarim', ), ('Zac', ), […]
Hey there! Let’s talk about this dataset from RealClearPolitics and the US Presidential Election. Before we dive in, let’s get on the same page about a few things: The US Presidential Election happens every four years. There are 50 states in the US and each gets a certain number of electoral votes based on its […]
Hey there! As your friendly language model, I’m here to help proofread and rewrite your text! Here’s the corrected and rewritten version of your post: Let’s do some Machine Learning with SparkR 1.6! The package only gives us the option to do linear or logistic regression, so for this exercise, we’re going to train a […]
Hey there! Let’s talk about spam filters. You know, those annoying emails that keep showing up in your inbox, even though you never signed up for them. Yeah, those. Well, a spam filter is a program that filters out those unwanted emails and messages. Pretty cool, right? So, we’re going to build and evaluate a […]
Alright, folks! The The Analytics Edge course on edX is almost over and boy, have I learned a lot about Machine Learning in the past 2 months! This MOOC is hands down the best one I’ve taken so far, and I hope my other courses can at least live up to its awesomeness. I first […]
It’s an absolute thrill to be in the top 1% of the Kaggle competition hosted by MIT! This contest is no joke, with some seriously experienced ML implementers throwing their hats into the ring. And let me tell you, the top 3 are on a whole other level – they’ve achieved over 90% accuracy, which […]
After diving into regression analysis, I couldn’t wait to test my newfound skills on some real-world data. Luckily, Kaggle has just the thing – they’re hosting a competition called ‘History of Baseball’ and, even better, they’ve provided a dataset for it! I had a blast analyzing Paul dePodesta’s predictions and statistical findings, using linear regression […]