444 Open source projects that are alternatives of or similar to Breast-Cancer-Scikitlearn

Heart Disease prediction using 5 algorithms

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

An Interactive Approach to Understanding Deep Learning with Keras

Machine Learning University: Decision Trees and Ensemble Methods

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

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Misc Statistics and Machine Learning codes in R

Machine Learning models from scratch with a better visualisation

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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).

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Go Scoring API for PMML

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

An Interactive Approach to Understanding Supervised Learning Algorithms

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

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Support Vector Machine in Javascript

Online machine learning methods

Training with FP16 weights in PyTorch

Heart Disease Analysis repository

Python Clustering Algorithms

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Official code for "Mean Shift for Self-Supervised Learning"

Visualizes the Random Forest debug string from the MLLib in Spark using D3.js

🚦 Declarative Finite-State Machines in Go

Hyperspectral image Target Detection based on Sparse Representation

Solution of the Titanic Kaggle competition

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

Loan Application Data Analysis

Face recognition using facenet

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Universal 1d/2d data containers with Transformers functionality for data analysis.

Predicting Google’s stock price using regression

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

A header-only C++ library for k nearest neighbor search with Eigen3.

A machine learning exercise, using KNN to classify deforested areas

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

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Jupyter Notebooks and miscellaneous

Sentiment Analysis & Topic Modeling with Amazon Reviews

Machine Learning Course @ Santa Clara University

demonstrating use of convolution neural networks to detect objects in a video

基于新浪微博数据的情感极性分析

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

Fast k-Nearest Neighbors Classifier for Large Datasets

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Stock predictor using Machine Learning

Kernel k Nearest Neighbors in R

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

CS 7641 - All the code

a frame of amd-v svm nest

A Unified Framework for Random Forest Prediction Error Estimation

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Tutorial: Support Vector Machine from scratch using Python3

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019