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A python 3 implementation of decision tree (machine learning classification algorithm) from scratch

Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints

An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.

Accessed the Twitter API for live streaming tweets. Performed Feature Extraction and transformation from the JSON format of tweets using machine learning package of python pyspark.mllib. Experimented with three classifiers -Naïve Bayes, Logistic Regression and Decision Tree Learning and performed... Read more

The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classificatio... Read more

Visual Decision Tree Based on Categorical Attributes

Decision Tree Algorithm written in Python with NumPy and Pandas

It shows how to build and optimize Decision Tree Classifier of "Diabetes dataset" using Python Scikit-learn package.

An adaboost implementation with decision trees in pure python.