238 Open source projects that are alternatives of or similar to wetlandmapR

Heart Disease prediction using 5 algorithms

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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My contributions to the #30DayMapChallenge 2019, a daily challenge focusing on spatial visualizations happening throughout November.

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利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Ariyana is an ECS work in progress game engine written in Orthodox C++ and Beef with a focus on cross-platform and multiplayer games

Machine learning for C# .Net

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

Machine Learning Lectures at the European Space Agency (ESA) in 2018

A curated list of geospatial tools, data, tutorials, information, and more

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Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Simple geographical raster interaction built on top of ArchGDAL, GDAL and CoordinateTransformations

Generative Forests in Python

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

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This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

YouTube Like Count Predictions using Machine Learning

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Conformalized Quantile Regression

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Handwritten Digit Recognition using Machine Learning and Deep Learning

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Faster, better, smarter ecological niche modeling and species distribution modeling

(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

A New, Interactive Approach to Learning Data Science

Online machine learning methods

Automated database-enabled navigation ✔️ of web applications

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Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

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

Easy Reduced Basis method

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.

bitcoin prediction algorithms

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Ruby Scoring API for PMML

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Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

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NetCDF support for the julia programming language

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

Faster raster processing using GRASS GIS

Machine Learning library written in Python and NumPy.

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A curated list of data mining papers about fraud detection.