A Big Data Approach to Decision Trees
Published:
This work implements a decision tree from scratch to predict labels for dataset SUSY from UCI Machine Learning Repository, using Python 3 and Apache Spark but no machine learning libraries.
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big data
A Big Data Approach to Decision Trees - Introduction to Decision Trees
Published:
Decision trees are one of the most popular predictive algorithms because they are easy for humans to understand as simple if-then rules are enough to define the whole model[1]. They are greedy search based algorithms from the supervised learning group, which use divide-and-conquer strategy to solve complex problems. The combination of sub-problems solutions builds an acyclic connected graph where the name trees comes from. These models can be implemented to solve regression problems receiving the name regression trees, on the other hand they are also widely applied to the classification problem when they are named decision trees[2], which are the subject of this project.
decision trees
A Big Data Approach to Decision Trees
Published:
This work implements a decision tree from scratch to predict labels for dataset SUSY from UCI Machine Learning Repository, using Python 3 and Apache Spark but no machine learning libraries.
A Big Data Approach to Decision Trees - Introduction to Decision Trees
Published:
Decision trees are one of the most popular predictive algorithms because they are easy for humans to understand as simple if-then rules are enough to define the whole model[1]. They are greedy search based algorithms from the supervised learning group, which use divide-and-conquer strategy to solve complex problems. The combination of sub-problems solutions builds an acyclic connected graph where the name trees comes from. These models can be implemented to solve regression problems receiving the name regression trees, on the other hand they are also widely applied to the classification problem when they are named decision trees[2], which are the subject of this project.
iot
Smart Aquarium
Published:
In this personal project I have implemented a simple temperature control system to cool the temperature of my aquarium down with world famous Raspberry PI 3.
machine learning
A Big Data Approach to Decision Trees
Published:
This work implements a decision tree from scratch to predict labels for dataset SUSY from UCI Machine Learning Repository, using Python 3 and Apache Spark but no machine learning libraries.
A Big Data Approach to Decision Trees - Introduction to Decision Trees
Published:
Decision trees are one of the most popular predictive algorithms because they are easy for humans to understand as simple if-then rules are enough to define the whole model[1]. They are greedy search based algorithms from the supervised learning group, which use divide-and-conquer strategy to solve complex problems. The combination of sub-problems solutions builds an acyclic connected graph where the name trees comes from. These models can be implemented to solve regression problems receiving the name regression trees, on the other hand they are also widely applied to the classification problem when they are named decision trees[2], which are the subject of this project.