One of the most important things in machine learning is evaluating how well your model is doing. Two important metrics for this are accuracy and precision. Sometimes, a machine learning model might have high accuracy but low precision. This can…
Data Science is a field of study that uses mathematics, statistics, and computer science to analyze and make sense of large amounts of data – which is perfect since it can also be used to improve simulations. Think of a…
Machine learning has taken the world by storm, promising to revolutionize industries, improve efficiency, and deliver unparalleled insights. But, as with all things that sound too good to be true, there’s a catch. Turning your machine-learning models from experimental projects…
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…
This post will help break the myths surrounding a unique but common machine-learning algorithm called SVG. One of the most debated (silly) topics is whether SVG is a machine-learning algorithm or not. Believe it or not, SVG is a machine-learning…
Getting started is tough, and choosing between learning data science or machine learning first is difficult. While they may seem similar, they are actually fundamentally different fields. Choosing the right path to study can significantly impact your future career, 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…