35 Open source projects that are alternatives of or similar to Decision_Tree_Prune

A collection of research papers on decision, classification and regression trees with implementations.

经典机器学习算法的极简实现

Devs是一款轻量级的规则引擎

Pruning and quantization for SSD. Model compression.

🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

An implementation of the paper "A Short Introduction to Boosting"

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

A python implementation of the CART algorithm for decision trees

Machine Learning models from scratch with a better visualisation

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Universal way for ignoring unnecessary common files to fit your bundle

Programmable Decision Tree Framework

a python interface to OC1 and other oblique decision tree implementations

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Jupyter Notebooks and miscellaneous

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

Ruby Scoring API for PMML

Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Boosted trees in Julia

Algorithmic trading using machine learning.

A decision tree to help you decide on the right AWS compute service for your needs.

Implement of Dynamic Model Pruning with Feedback with pytorch

Quick-Data-Science-Experiments

Docker system prune automatically

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

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

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

Essential NLP & ML, short & fast pure Python code

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

A toolkit for extracting comprehensible rules from tree-based algorithms

Building Decision Trees From Scratch In Python

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归