Hello everyone! I’m back! Today I want to introduce you to a super powerful machine learning development tool—the Amazon SageMaker Python SDK! It’s like a thoughtful AI assistant that helps us easily handle the training and deployment of machine learning projects. Want to train models in the cloud? Want to deploy machine learning services? It … Read more
Star★TopPublic Account I love you all♥ Author: Matthew Translated by: Fang’s Mantou 0 Introduction Today, the public account will introduce to everyone,distinguishing real financial time series from synthetic time series. The data is anonymous, and we do not know which time series comes from which asset. In the end, we achieved a 67% in-sample testing … Read more
XGBoost is well-known as a powerful tool in data science competitions and is widely used in the industry. This article shares a collection of frequently asked interview questions about XGBoost that I have compiled over the years, hoping to deepen everyone’s understanding of XGBoost and, more importantly, to provide some assistance when seeking opportunities. 1. … Read more
This article is a part of Chapter 10 of the book “Introduction to Machine Learning Basics” (by Huang Haiguang). XGBoost Algorithm XGBoost is a machine learning algorithm based on the Gradient Boosting Decision Tree (GBDT) invented in February 2014 by PhD student Chen Tianqi from the University of Washington. This algorithm not only has excellent … Read more
Click the top to follow us! XGBoost Feature Engineering: From Beginner to Expert Recently, I’ve been diving into XGBoost and found that feature engineering is indeed a profound subject. This thing can be said to be the lifeline of model performance; if done poorly, all efforts can be in vain. Today, let’s chat about the … Read more
Hello everyone! Niu Ge is back! Today we are going to talk about a very powerful machine learning library – XGBoost. When it comes to it, we must mention its dominance in major data competitions. It’s like the “timely rain Song Jiang” in the machine learning world, always able to help you improve model performance … Read more
↓Recommended Attention↓ Original: Combining Price Momentum and Crowding for Margin ETF Trading Strategies Source: China Galaxy Securities Research Institute 1. Introduction This article mainly introduces the trading strategies for margin ETFs. As an index tracking tool, ETFs have good asset allocation value. At the same time, by combining price diffusion and Minsky moments, the advantages … Read more
Author: Huang Tianyuan, currently a PhD student at Fudan University, with research involving text mining, social network analysis, and machine learning. I hope to share learning experiences and promote the application of R language in the industry. Email: [email protected] XGBoost is currently the best predictive solution based on tree models, and is worth exploring and … Read more
Original | ETF Trading Strategy Combining Price Momentum and Crowding Source | China Galaxy Securities Research Institute, Typesetting: Python Data Science 1. Introduction This article mainly introduces the trading strategy for margin-financed ETFs. As an index tracking tool, ETFs have good asset allocation value. At the same time, by combining price diffusion and Minsky moments, … Read more
Selected from Ancestry Author: Tyler Folkman Translated by Machine Heart Contributors: Liu Xiaokun, Li Zenan The algorithm using XGBoost often achieves good results in Kaggle and other data science competitions, making it popular (see: Why Does XGBoost Perform So Well in Machine Learning Competitions?). This article analyzes the prediction process of the XGBoost machine learning … Read more