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### An End-to-End Guide to Understand the Math behind XGBoost

XGBoost has quickly become a popular machine learning technique, and a major diffrentiator in ML hackathons. Learn the math that powers it, in this article.

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### How to handle Imbalanced Classification Problems in machine learning?

Introduction If you have spent some time in machine learning and data science, you would have definitely come across imbalanced class distribution. This is …

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### 45 questions to test Data Scientists on Tree Based Algorithms (Decision tree, Random Forests, XGBoost)

Introduction Tree Based algorithms like Random Forest, Decision Tree, and Gradient Boosting are commonly used machine learning algorithms. Tree based algorithms are often used …

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### Tutorial – Data Science at Command Line with R & Python (Scikit Learn)

Introduction The thought of doing Data Science at Command Line may possibly cause you to wonder, what new devilry is that? As if, it …

### A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)

Overview Explanation of tree based modeling from scratch in R and python Learn machine learning concepts like decision trees, random forest, boosting, bagging, ensemble …

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### Complete Guide to Parameter Tuning in XGBoost with codes in Python

Overview XGBoost is a powerful machine learning algorithm especially where speed and accuracy are concerned We need to consider different parameters and their values …

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### Complete Machine Learning Guide to Parameter Tuning in Gradient Boosting (GBM) in Python

Overview Learn parameter tuning in gradient boosting algorithm using Python Understand how to adjust bias-variance trade-off in machine learning for gradient boosting   Introduction …

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### Quick Introduction to Boosting Algorithms in Machine Learning

Introduction Lots of analyst misinterpret the term ‘boosting’ used in data science. Let me provide an interesting explanation of this term. Boosting grants power to machine …

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### Perfect way to build a Predictive Model in less than 10 minutes

Overview Hackathons involve building predictive models in a short time span The Data Preprocessing step takes up the most share while building a model …

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### Learn Gradient Boosting Algorithm for better predictions (with codes in R)

Introduction The accuracy of a predictive model can be boosted in two ways: Either by embracing feature engineering or by applying boosting algorithms straight …

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