by QuantCopilot | Jul 1, 2019 | Machine Learning, Python
Building and implementing a Random Forest Algorithm Now we’ll be implementing a simple Random Forest algorithm into code using Python 3. Let’s get started! Importing the necessary packages and dependencies: import pandas as pd import numpy as np...
by QuantCopilot | Jul 1, 2019 | Machine Learning
Decision Trees (part 1) In this post we’ll learn the basics but very powerful concepts that will guide us in the quest to find a powerful (and profitable) machine learning model that in further posts, we’ll be implementing it to a real life Algorithmic Trading Bot....
by QuantCopilot | Jul 1, 2019 | Machine Learning
Random Forest Random Forest, as the name suggest, it’s the bagging of many Decision Trees, in this way we get better results than using just a single tree. Random Forest not only sample subsets of a given data set but also sample subsets or features, letting each...
by QuantCopilot | Jun 30, 2019 | Machine Learning
Decision Trees (part 2) Ensemble Learning Ensemble learning is one of the most interesting and most used concepts in machine learning applied to finance. It consist of two main ideas: Bagging Boosting (This concept we’ll cover in further posts) Bagging This is a short...
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