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ensemble-machine-learning

Here are 238 public repositories matching this topic...

h1st-ai / h1st

Power Tools for AI Engineers With Deadlines

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 Jul 31, 2023
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sharmapratik88 / AIML-Projects

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 Aug 23, 2021
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nikitaprasad21 / ML-Cheat-Codes

Machine Learning Cheatsheet 2024

python random-forest linear-regression xgboost logistic-regression tensors decision-trees ensemble-machine-learning adaboost-algorithm

Updated Oct 4, 2024
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mesa

ZhiningLiu1998 / mesa

[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 Jun 17, 2024
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FilippoMB / Ensemble-Conformalized-Quantile-Regression

Valid and adaptive prediction intervals for probabilistic time series forecasting

random-forest recurrent-neural-networks uncertainty-quantification frequentistic-confidence-intervals quantile-regression time-series-prediction frequentist-statistics time-series-forecasting ensemble-machine-learning conformal-prediction prediction-intervals probabilistic-forecasting

Updated Sep 28, 2022
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desh2608 / dover-lap

Python package for combining diarization system outputs.

ensemble-machine-learning diarization dover-lap

Updated Oct 12, 2023
Python

louisowen6 / SENN

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
Jupyter Notebook

gkunapuli / ensemble-methods-notebooks

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

python machine-learning scikit-learn jupyter-notebook ensemble-learning ensemble-machine-learning

Updated Apr 22, 2023
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dkanungo / Probabilistic-ML-for-finance-and-investing

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

finance trading investing project-management probabilistic-programming monte-carlo-simulation uncertainty-quantification hamiltonian-monte-carlo markov-chain-monte-carlo portfolio-theory epistemology probabilistic-models maximum-likelihood-estimation capm ensemble-machine-learning aleatoric-uncertainty epistemic-uncertainty ontological-information generative-ai npv-analysis

Updated Jan 15, 2024
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FernandoLpz / Stacking-Blending-Voting-Ensembles

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 Nov 18, 2021
Python

alicex2020 / Deep-Learning-Lie-Detection

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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Dan-Boat / PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

machine-learning deep-learning precipitation downscaling ensemble-machine-learning tensorflow2 sckit-learn

Updated Nov 5, 2024
Python

jon-chun / sentimentarcs_notebooks

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

Updated Mar 23, 2023
Jupyter Notebook

AaronWard / PU-learning-example

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

ashishpatel26 / Most-used-ML-Packages

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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tonyleidong / OptimalFlow

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 Jan 25, 2024
HTML

nsl_kdd_classification

PradeepThapa / nsl_kdd_classification

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

Haoning724 / obbstacking

Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection

machine-learning deep-learning remote-sensing object-detection oriented-bounding-box ensemble-machine-learning

Updated May 16, 2023
Python

yashksaini-coder / Mohs-hardness-ensemble-prediction

Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎

prediction supervised-learning ensemble-learning predictive-modeling ensemble-model prediction-model catboost ensemble-machine-learning lgbm lgbmregressor catboostregressor catboost-mo

Updated Feb 3, 2024
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Anello92 / Machine_Learning_Python

Top Machine Learning Algorithms Detailed in Python and Preprocessing for Machine Learning

python machine-learning tree algorithm random-forest naive-bayes regression classification adaboost preprocessing knn ensemble-machine-learning extremely-randomized-trees bagging-ensemble

Updated Jul 13, 2021
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