Thaboty

100-page&76 questions and deliberated answers with detailed explanation. from data engineering class in university of antwerp faculty of business and economics, master of business economics. Professor Len Feremans. 2024 new version.

In this packaging, you will get two meticulously-made summary/class notes of "machine learning" and "data science ethics" created by my self, who won 18 and 17 respectively in 2024, within one purchase with only 14.9 euro, for one lunch meal. It includes chapter highlights, detailed explanations of key concepts, and clarifications for similarities

I achieved a score of 18 out of 20, the greatest distinction, in the 'Machine Learning' course in 2024. This success is attributed to the systematic study material I authored on my own. In the second part, it contains chapter 6 to 9, covering the KNN, clustering, recommendation system, ANN, text mining, etc. with a meticulously made navagation pane.

I achieved a score of 18 out of 20, the greatest distinction, in the 'Machine Learning' course in 2024. This success is attributed to the systematic study material I authored on my own. In the first part, it contains chapter 1 to 5, covering the CRISP framework, decision tree, overfitting, ROC/AUC&Profit curves, and Bayes, with a meticulously made navagation pane.

I achieved a score of 18 out of 20, the greatest distinction, in the 'Machine Learning' course in 2024. This success is attributed to the systematic study material I authored on my own. It includes chapter highlights, detailed explanations of key concepts, and, most significantly, clarifications on similar and ambiguous study points, with a meticulously made navagation pane. This comprehensive guide spans 81 pages and is available for the modest price of 9.9 euros, less than one lunch meal.

In 2024, I achieved a score of 17 out of 20 in the 'Data Science Ethics' course. This comprehensive mindmapping drew by myself, serves as a detailed roadmap, outlining all the crucial information you need to grasp. You can zoom in to the largest scale to examine every detail thoroughly. Equipped with this bird's-eye view, you'll be able to develop a systematic understanding of how to approach and consider ethical topics within the context of a data mining project, step by step.