scikit-learn-python

DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications

machine-learning scikit-learn detector artificial-intelligence discriminator high-energy-physics materials-science time-of-flight scikitlearn-machine-learning lifescience fluorescence-microscopy-imaging positron-emission-tomography supervised-machine-learning pulse-detection gaussian-naive-bayes-implementation lifetime-spectroscopy positron-lifetime-spectra fluorescence-correlation scikit-learn-python pulse-shape-discrimination

Updated Jan 20, 2021
Python

AMPA-ML-Team / PD-Classification

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Codes for "Parkinson’s Disease Diagnosis: Effect of Autoencoders to Extract Features from Vocal Characteristics"

svm python3 xgboost autoencoder ensemble-learning mlp keras-tensorflow parkinsons-disease uci-machine-learning scikit-learn-python

Updated Aug 21, 2020
Python

AjayZinngg / simple-nltk-chatbot

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A Q&A based chatbot which queries the database to find responses for similar questions asked by the users

flask python3 nltk sqlite3 scikit-learn-python

Updated Jun 7, 2024
Python

RafeyIqbalRahman / Data-Imputation-Techniques

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This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.

scikit-learn sklearn imputation preprocessing scikitlearn-machine-learning sklearn-library imputation-methods scikit-learn-python datapreparation

Updated Aug 3, 2020
Python

SubhangiSati / Machine-Learning

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This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

python data-science machine-learning linear-regression machine-learning-algorithms artificial-intelligence classification logistic-regression decision-trees regression-models svm-classifier scikitlearn-machine-learning knn-classification regression-algorithms knn-model scikit-learn-python

Updated Feb 10, 2024
Python

Jeyjocar / Redes-Neuronales

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24/01/2024 Jeyfrey J. Calero R. Aplicación de Redes Neuronales con scikit-learn streamlit, pandas, seaborn y matplolib

python programming-language app scikit-learn artificial-intelligence redes-neurais-artificiais redes scikit-learn-api scikit-learn-python streamlit

Updated Mar 9, 2024
Python

AbhishekRS4 / ML_water_potability

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ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset

machine-learning docker-deployment water-quality kubernetes-deployment mlflow scikit-learn-python machine-learning-model fastapi-docker mlflow-sklearn machine-learning-model-deployment mlflow-model machine-learning-model-management water-potability

Updated Mar 1, 2024
Python

NitishaS-812k / Music-Genre-Classifier

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This repository contains the code for some models that classify music files into their specific genres

classifier neural-network keras-neural-networks fma-dataset musicgenre scikit-learn-python

Updated May 25, 2020
Python

akimcs / fish-weight-estimation

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a python project that uses machine learning to estimate the weight of a fish.

machine-learning csv-files linear-regression pandas-python scikit-learn-python matplotlib-python

Updated Apr 11, 2023
Python

stevenhastings / TweetyPy

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Full-Stack application that allows client to use a predictive model to determine which user is more likely to have tweeted a given text. This project covers everything from API's to Predictive Modeling, SQLAlchemy database storage, Flask, along with other full-stack components. In the end it is deployed for online usage using Heroku.

sql logistic-regression predictive-modeling flask-sqlalchemy heroku-deployment tweepy-api spacy-nlp scikit-learn-python