This blog post will discuss EDA (exploratory data analysis) for our first project in our Dataset2API series. This project focuses on creating a salary API that will allow users to query for average salaries based on job titles, locations, years…
Bootstrapping is a resampling method that is used in machine learning. It is a widespread technique due to its flexibility since it does not require anything other than your training dataset (that I presume you already have). This blog will…
When most people think about artificial intelligence, they automatically assume some machine learning goes on. After all, how could you have an AI system without machine learning? But what if there was a way to create AI without machine learning? …
Can you even do face recognition without machine learning? Well, the answer depends on how you define “machine learning.” If we define machine learning as machine-learned rules crafted from training data, then the answer is yes – we won’t need…
Epochs in machine learning can be confusing for newcomers. This guide will break down epochs and explain what they are, how they work, and why they’re important. We’ll also dive deep into Epochs’ relationship with Batch size and iterations. Deep…
In the ever-evolving realm of data science and machine learning, the right tools are paramount to unleashing the full potential of innovation and discovery. At the heart of this technological frontier lies the processor—a critical component that serves as the…
There’s a lot of talk about data science and its prerequisites – what one needs to know to break in and become a data scientist. And rightfully so, given that the field is exploding with opportunities (and high salaries). But…
I remember when I first decided that I wanted to learn data science. I was fresh out of college and working a job as an engineer that I wasn’t in love with. I knew I wanted a change, but I…
Data science is one of the most influential and in-demand fields there is. While data scientists need to have a strong background in applied math and statistics, they also need to be able to program. Programming is a crucial knack…