h1st-ai / h1st

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The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

home-automation data-science time-series collaboration cybersecurity cold-start autonomous-vehicles hacktoberfest automl avionics human-in-the-loop predictive-maintenance ensemble-machine-learning datascience-environment explainability industrial-iot trustworthy-datascience energy-optimization

Updated Jun 5, 2021
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ZhiningLiu1998 / mesa

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NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

ensemble class-imbalance ensemble-model imbalanced-data mesa imbalanced-learning ensemble-machine-learning imbalance-classification meta-learning-algorithms imbalanced-learn meta-sampler meta-training

Updated Oct 20, 2020
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sharmapratik88 / AIML-Projects

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

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject

Updated Jun 24, 2020
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louisowen6 / SENN

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Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

nlp sentiment-analysis neural-network cnn lstm mlp stock-market-prediction ensemble-machine-learning stocktwits

Updated Oct 7, 2020
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desh2608 / dover-lap

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Python package for combining diarization system outputs.

ensemble-machine-learning diarization dover-lap

Updated Mar 7, 2021
Python

tonyleidong / OptimalFlow

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OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.

automl automated-machine-learning ensemble-machine-learning ensemble-encoder automated-feature-preprocessor

Updated Dec 10, 2020
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ashishpatel26 / Most-used-ML-Packages

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Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

tensorflow word-embeddings pandas pytorch ensemble-learning tensorflow-tutorials nlp-machine-learning pandas-tutorial pytorch-tutorial ensemble-machine-learning

Updated May 31, 2019
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alicex2020 / Deep-Learning-Lie-Detection

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Use machine learning models to detect lies based solely on acoustic speech information

machine-learning deep-learning ensemble-learning support-vector-machines mfcc ensemble-model pitch-tracking ensemble-classifier acoustic-features ensemble-machine-learning lie-detector mfcc-analysis

Updated Jul 27, 2019
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AaronWard / PU-learning-example

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An example repo for how PU Bagging and TSA works.

machine-learning random-forest semi-supervised-learning ensemble labelling weakly-supervised-learning bagging ensemble-machine-learning positive-unlabeled-learning bagging-trees pulearning unreliable-labels

Updated Feb 21, 2020
Python

HarryMills / GASEN

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Genetic Algorithm based Selective Neural Network Ensemble

python machine-learning genetic-algorithm nerual-network ensemble-machine-learning genetic-optimization-algorithm

Updated Apr 16, 2019
Python

PradeepThapa / nsl_kdd_classification

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Cyber-attack classification in the network traffic database using NSL-KDD dataset

attack machine-learning-algorithms classification-algorithm kdd99 nsl-kdd kdd-dataset ensemble-machine-learning catboost-model classification-algorithms cyber-attacks-analytics cyber-attack-classification network-traffic-database u2r r2l

Updated Sep 25, 2020
Python

FernandoLpz / Stacking-Blending-Voting-Ensembles

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This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

machine-learning voting ensemble-learning ensemble-model stacking blending ensemble-classifier ensemble-machine-learning stacking-ensemble

Updated Dec 13, 2020
Python

kafisatz / DecisionTrees.jl

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Julia Decision Tree Algorithms for Regression

julia regression decision-trees boosting-algorithms julialang actuarial decisiontree ensemble-machine-learning decisiontrees

Updated May 12, 2021
Julia

omarmhaimdat / xgboost_student_performance

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Introduction to XGBoost with an Implementation in an iOS Application

python swift machine-learning ios-app ios-swift xgboost xgboost-algorithm decision-tree-regression coremltools ensemble-machine-learning xgboost-python

Updated May 30, 2020
Swift

davidmasse / US-supreme-court-prediction

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Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model

pipeline-framework feature-importance classification-model categorical-features ensemble-machine-learning curse-of-dimensionality-solution data-leakage

Updated Oct 14, 2018
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akram-mohammed / ECemble

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Multi-class enzyme classification using machine learning

python machine-learning r enzyme webserver perl awk prediction weka command-line-tool cgi-script enzyme-classification ensemble-machine-learning

Updated Mar 30, 2021
Shell

LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

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bootstrap random-forest exploratory-data-analysis feature-selection supervised-learning adaboost feature-engineering gradient-boosting supervised-machine-learning decisiontree bagging knn-regression support-vector-regression regression-algorithms kfold-cross-validation ensemble-machine-learning

Updated Oct 26, 2019
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SaeidRostami / Customer_Churn

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Customer churn analysis for a telecommunication company

python data-science machine-learning random-forest seaborn supervised-learning classification data-analysis logistic-regression matplotlib upsampling grid-search decision-tree svm-classifier feature-importance one-hot-encode ensemble-machine-learning unbalanced-data

Updated Oct 28, 2018
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MrKhan0747 / New-York-City-Taxi-Trips-Fare

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In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

machine-learning random-forest cross-validation prediction data-visualization data-preprocessing feature-engineering k-fold taxi-data random-forest-regressor nyc-taxi-dataset nyc-taxi ensemble-machine-learning nyc-taxi-fare

Updated Jun 13, 2019
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abhidtu2014 / Image-splicing-detection-python

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Splicing detection | ML | Major project

machine-learning cross-validation image-processing pca-analysis image-classification sift-algorithm image-segmentation kpca-analysis binary-classification image-splicing-detection haralick-features ensemble-machine-learning splicing-detection zernike

Updated Mar 28, 2020
Python

lovpatel93 / Kaggle-Spam

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Spam Detection – Cluster SMS messages to “Spam” and “Ham” (Kaggle Challenge)

natural-language-processing cross-validation bag-of-words tf-idf vectorization feature-engineering nlp-machine-learning evaluation-metrics nlp-keywords-extraction tokenization stemming lemmatization countvectorizer nltklib ensemble-classifier random-forest-classifier gridsearchcv ensemble-machine-learning tf-idf-vectorizer nltk-python

Updated Feb 21, 2019
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YalesRios / Samel

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Implementation of Saliency-based Agreement Metric for Ensemble Learning

machine-learning neural-network artificial-intelligence neural-networks artificial-neural-networks ensemble ensemble-learning ensemble-model saliency-map saliency ensemble-classifier saliency-detection ensemble-machine-learning

Updated Oct 15, 2020
HTML

CodeByHarri / Stacking-Ensemble-Machine-Learning

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Stacking Machine Learning Models. Tunning; feature engineering, scaling, models combinations and parameters.

machine-learning regression-models classification-model ensemble-machine-learning stacked-generalization

Updated Oct 4, 2020
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jb-ds2020 / 2nd_Project

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This is our second project at neuefische DS Bootcamp. Silas Mederer (https://github.com/sls-mdr) and me applied different ML models and for credit default prediction of the P2P platform Lending Club.