Tag: Data Science

In machine learning, there are many traditional algorithms that will remain relevant for a long time. k-Nearest Neighbor (KNN) is one such algorithm that we will get to know in this article. KNN is a simple and efficient algorithm. It is easy to understand the methodology of KNN as well. In this article, we will […] ...

In machine learning, we seldom get datasets that are perfect from the beginning. Almost it never happens that we get the data and just feed into our machine learning algorithms. In fact, it is one of the final steps. Before we can use the data, we need to act on it. We need to clean, […] ...

Introduction In this article, we will take a look at the various aspects of the XGBoost library. XGBoost is one of the most reliable machine learning libraries when dealing with huge datasets. In my previous article, I gave a brief introduction about XGBoost on how to use it. This article will mainly aim towards exploring […] ...

Random Forests are powerful ensemble machine learning algorithms that can perform both classification and regression. In machine learning, random forests work quite well in large and complex datasets. They can give high accuracy score. But we can improve these results even further. Therefore, in this article, we will learn how to perform hyperparameter tuning in […] ...

In the world of machine learning, there are numerous algorithms to choose from. Each algorithm has its own benefits and drawbacks and we should choose one that will work best for the data we have in hand. Random Forests are perhaps one of the best-known algorithms. In this article, we will learn about Random Forests […] ...