Branch of Machine Learning dealing with Supervised Learning.
Have you ever trained a machine learning model and been really excited because it had a high accuracy score on your training data.. but disappointed when it didn’t perform as well on your test data? (We’ve all been there) This is a…
Validation Accuracy, in the context of machine learning, is quite a weird subject, as it’s almost the wrong way of looking at things. You see, there are some particular deep-learning problems (neural networks) where we need an extra tool to…
In time series analysis, selecting the right model for forecasting can be challenging. Two popular models often competing for the spotlight are Vector Autoregression (VAR) and Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX). Both models have their unique strengths,…
If you’re trying to understand the main differences between lasso regression and PCA – you’ve found the right place. In this article, we will go on a thrilling journey to learn about two cool data science techniques: Lasso Regression and…
A good accuracy score in machine learning depends highly on the problem at hand and the dataset being used. High accuracy is achievable in some situations, while a seemingly modest score could be outstanding in others. Many times, good accuracy…
I’ll be honest; choosing the right algorithm for machine learning can be one of the most challenging parts of our jobs. Don’t worry; we’re here to help. In this article, we’ll be breaking down the process of selecting the perfect…
Machine learning models have become a cornerstone of many industries, providing valuable insights and predictions based on the vast amounts of data that are out there. However, as data scientists and machine learning engineers, we always strive for greater accuracy…
Every computer science student had to deal with sorting algorithms while learning how to code. While traditional sorting algorithms have been in use for decades, the rise of machine learning has given birth to a new type of sorting algorithm…
Something that isn’t talked about enough but silently haunts all machine learning practitioners. Data leakage. While data leakage is rarely discussed, I’ve seen it destroy production models. This blog post will discuss detecting and preventing data leakage in machine learning…
We’ve all been there, cleaned up our dataset, and realized it’s incredibly noisy. Should you get rid of the noise? Why is it even there? And what even is noise? In this blog post, we’ll look at what noise is,…