Tag Archives: Data preparation

ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 2

In part 1 of this chapter, “Decision Trees and Ensemble Learning,” we introduced the project, which is a binary classification problem aimed at predicting the probability of a client defaulting on a loan. Part 2 of this chapter is divided into two main sections. Preparation Steps In the first part, we focus on necessary preparationContinue reading “ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 2”

ML Zoomcamp 2023 – Machine Learning for Classification– Part 2

Data preparation The topics that we cover in this section are: Downloading the data First, we import all the necessary packages. Then, we can download our CSV file using the ‘wget’ command. When using Jupyter Notebook, it’s important to note that ‘!’ indicates the execution of a shell command, and the ‘$’ symbol, as seenContinue reading “ML Zoomcamp 2023 – Machine Learning for Classification– Part 2”

ML Zoomcamp 2023 – Machine Learning for Regression – Part 1

Car price prediction project This chapter is about the implementation of an ML project and which steps have to be considered. It is about the prediction of car prices based on a Kaggle dataset. The steps will be described in individual blog posts and include: Data preparation – General Information In the data preparation phase,Continue reading “ML Zoomcamp 2023 – Machine Learning for Regression – Part 1”