In an attempt to “predict the future”, we gather and analyze data, finding trends and patterns in it. There are tons of classifiers to choose from, for example, Random Forest, Logistic Regression, K-Nearest Neighbor, Support Vector Machine, and many more. Every classifier has its own unique characteristic, performing well in certain datasets but not in others. Hence, it is always a quest to seek out the best classifier to use for a certain data set.
In this article, we will be looking at three classifiers, namely Neural Network, Random Forest and Gaussian Naive Bayes to see how well they perform…
It is the year 2020 — where we front-end developers are bombarded with tons of web frameworks to choose from. Should we choose the framework that we’re used to? Or should we try out something completely new? What is the deciding factor that will push us to try something new?
A website’s loading time can be reduced by bundling various assets together, performing minification by removing redundant data, making use of tree shaking to eliminate dead codes that are never executed, and more.
We’ll be looking at different bundlers that have their own pros and cons, and they…
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