LightGBM is a distributed and efficient gradient boosting framework that uses tree-based learning. It’s known for its fast training, accuracy, and efficient…

XGBoost is a top gradient boosting library that is available in Python, Java, C++, R, and Julia.  The library offers support for GPU…

Plotly is an open-source Python graphing library that is great for building beautiful and interactive visualizations. It is an awesome tool for…

PIL stands for Python Image Library. In this article, we will look at its fork: Pillow. PIL has not been updated since…

There is a common business saying that you can’t improve what you don’t measure. This is true in machine learning as well….

Imagine if you could get all the tips and tricks you need to tackle a binary classification problem on Kaggle or anywhere…

In Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished…

You’ve created a deep learning model in Keras, you prepared the data and now you are wondering which loss you should choose…

In this article, we’ll look at a major problem with using Random Forest for Regression which is extrapolation.  We’ll cover the following…

Imagine if you could get all the tips and tricks you need to hammer a Kaggle competition. I have gone over 39…

In this piece, we’ll take a plunge into the world of image segmentation using deep learning. We’ll talk about: what image segmentation…

Keras metrics are functions that are used to evaluate the performance of your deep learning model. Choosing a good metric for your…