249 Open source projects that are alternatives of or similar to dominance-analysis

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

A distributed logistic regression system based on ps-lite.

No description or website provided.

📈 Regression and Classification with UC Davis student quiz data and exam data

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Pipeline for fast building text classification TF-IDF + LogReg baselines.

A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

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Python utilities for Machine Learning competitions

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Material of the Kaggle Berlin meetup group!

Creating a model to analyze and predict the trend of the prices of gold.

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Heart Disease prediction using 5 algorithms

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Tracking, notes and programming snippets while learning predictive analytics

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

ZCA whitening in python

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

Feature selection for maximizing expected cumulative reward

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

🎓 Tidy tools for academics

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

🏭 JavaScript Machine Learning Toolkit

Credit card fraud detection through logistic regression, k-means, and deep learning.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

A simplified version of featuretools for Spark

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Awesome Domain Adaptation Python Toolbox

Learning to create Machine Learning Algorithms

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

Text Classification Algorithms: A Survey

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English

A repository for recording the machine learning code

An open source python library for automated feature engineering based on Genetic Programming

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Feature Selection for Clustering

I will update this repository to learn Machine learning with python with statistics content and materials

正方验证码识别工具 提供多种方式

Flexible time series feature extraction & processing

An Interactive Approach to Understanding Deep Learning with Keras

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

A set of machine learning experiments in Clojure

Python implementation of Andrew Ng's ML course projects

A curated list of data mining papers about fraud detection.

Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches

code for "A global pathway selection algorithm for the reduction of detailed chemical kinetic mechanisms" (Gao et al., CNF'16)

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Research project

Automatic machine learning for tabular data. ⚡🔥⚡

Regular Expression Counts of Terms and Substrings

GraphOfDocs: Representing multiple documents as a single graph

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.