Search results for "Deep Learning"

How to Implement Random Forest From Scratch in Python

How to Implement Random Forest From Scratch in Python

Decision trees can suffer from high variance which makes their results fragile to the specific training data used. Building multiple models from samples of your training data, called bagging, can reduce this variance, but the trees are highly correlated. Random Forest is an extension of bagging that in addition to building trees based on multiple […]

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How to Implement Bagging From Scratch With Python

How to Implement Bagging From Scratch With Python

Decision trees are a simple and powerful predictive modeling technique, but they suffer from high-variance. This means that trees can get very different results given different training data. A technique to make decision trees more robust and to achieve better performance is called bootstrap aggregation or bagging for short. In this tutorial, you will discover […]

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How To Implement The Decision Tree Algorithm From Scratch In Python

How To Implement The Decision Tree Algorithm From Scratch In Python

Decision trees are a powerful prediction method and extremely popular. They are popular because the final model is so easy to understand by practitioners and domain experts alike. The final decision tree can explain exactly why a specific prediction was made, making it very attractive for operational use. Decision trees also provide the foundation for […]

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XGBoost With Python

XGBoost With Python

XGBoost With Python Discover The Algorithm That Is Winning Machine Learning Competitions Why Is XGBoost So Powerful? … the secret is its “speed” and “model performance” The Gradient Boosting algorithm has been around since 1999. So why is it so popular right now? The reason is that we now have machines fast enough and enough […]

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Data Management Matters

Data Management Matters And Why You Need To Take It Seriously

We live in a world drowning in data. Internet tracking, stock market movement, genome sequencing technologies and their ilk all produce enormous amounts of data. Most of this data is someone else’s responsibility, generated by someone else, stored in someone else’s database, which is maintained and made available by… you guessed it… someone else. But. […]

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