Alexander
11 Posts
Solving machine learning problems with a gradient boosting algorithm
Gradient Boosting is one of the most effective tools for solving machine learning problems, especially in Kaggle competitions. To learn how to apply it...
Kaggle in 30 minutes: a practical guide for beginners. Part 1
The novice data scientist needs practice, and Kaggle solves this problem. In this article you will learn the best way to get started with...
Kaggle in 30 minutes: House Prices competition. Part 2
In the previous article we have learnt what Kaggle is and the different sections it has. Now let's take a look at one of...
What is reinforcement learning and how it works
Explained with simple examples.
Today we will talk about how machines learn through trial and error and what algorithms they use to outperform humans.
Reinforcement Learning...
Feature engineering and selection. Part 1
Feature engineering
Machine learning is not just about picking the right parameters for a model. ML workflows depend on feature engineering and selection. In many...
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