machine-learning-classification

There are 1 repository under machine-learning-classification topic.

• zhenglz / dockingML

  A package for MD, Docking and Machine learning drug discovery pipeline

  dockingmolecular-dynamicstrajectory-analysisfeature-extractiondata-cleaningmachine-learning-classification
  Language:Python 42

• Awesome-Machine-Learning / Machine-Learning-Classifications

  Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

  decision-treesnaive-bayesrandom-forestartificial-neural-networksk-nearest-neighboursclassificationmachine-learning-classification
  Language:Jupyter Notebook 24

• omerbsezer / AIMap

  Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..

  deep-learningdeep-learning-algorithmsmachine-learning-algorithmsmachine-learning-classification
  23

• Pro-GenAI / LML-DAP

  Language Model Learning a Dataset for Data-Augmented Prediction

  arxivexplainable-machine-learningin-context-learninglarge-language-modelsllmllmsmachine-learning-classificationretrieval-augmented-generationtransparent-aiairesearchgenerative-aigen-aigenaigenerativeaipythonlanguage-modelprompt-engineeringresearch-projectresearch-paper
  Language:Jupyter Notebook 10

• gramai / Review-Classification

  Review Classification using NLP

  nlp-machine-learningnatural-language-processingpythonmachine-learning-classificationperformance-evaluationrandom-forest-classifiernaive-bayes-classifierbag-of-words
  Language:Python 4

• Pratik94229 / Machine-Learning-Classification-Repository

  This repository contains two classification projects: credit card default prediction and mobile price classification along with streamlit deployment .

  machine-learning-classificationsupervised-learningstreamlit-application
  Language:Jupyter Notebook 4

• WaniaKhance / Real-Time_Data_Center_Energy_Management

  This project is Master thesis research conducted at ENEA Portici Research Center, Italy. The data is obtained from the HPC CRESCO6 cluster at ENEA Portici Research Center. The aim is to identify energy consuming areas within the data center. In this project, real-time dataset from ENEA Portici Research Center is used. There are several techniques implemented including big data analytics and AI technology.

  bigdataanalyticsdata-visualizationdeep-learningdeep-neural-networksdescriptive-analysisexploratory-data-analysisinferential-statistical-analysesmachine-learning-classificationpythondata-sciencefuture-forecasttime-series-analysistime-series-forecasting
  Language:Jupyter Notebook 4

• amiruzzaman1 / ECG-Classification-Project

  his project involves the classification of ECG (Electrocardiogram) readings to determine whether they are normal or abnormal. The dataset consists of rows, each representing a complete ECG of a patient with 140 data points (readings).

  classification-algorithmecg-classificationecg-signalmachine-learning-classification
  3

• avithekkc / hospital-readmission-classification

  classificationmachine-learningdata-sciencehospital-readmissionbinary-classificationmachine-learning-classification
  Language:Jupyter Notebook 2

• bissessk / Decision-Tree-Classifier-on-Breast-Cancer-Data

  Decision Tree Classification was explored on Breast Cancer Data.

  machine-learningscikit-learnscikitlearn-machine-learningmachine-learning-classificationclassificationclassification-modeldecision-treesdecision-treedecision-tree-classifierbreast-cancerbreast-cancer-wisconsinbreast-cancer-classificationbreast-cancer-predictionbreastcancer-classificationbreast-cancer-dataset
  Language:Jupyter Notebook 2

• criveraalvarez / IoT_CWE-CAPEC_Dataset

  IoT CWE Dataset

  cvecweiotmachine-learning-classification
  2
• Pixel-and-Image-Machine_Learning_classifications-of-Sentinel-2-satellite-images

  damir77d / Pixel-and-Image-Machine_Learning_classifications-of-Sentinel-2-satellite-images

  Supervised Machine Learning

  machine-learning-classificationsupervised-machine-learning
  Language:Jupyter Notebook 2

• hermidalc / sklearn-bio-workflows

  Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates

  drug-response-predictiongenomicsmachine-learningmachine-learning-classificationtranscriptomics
  Language:Python 2

• nachocarracedo / portfolio

  machine-learningtutorialmachine-learning-classificationpythonpython-notebookvisualizationedamachine-learning-regressionportfoliodata-sciencedata-analysisdata-visualizationdatascience
  Language:Jupyter Notebook 2

• pnlong / determine_sections

  Identify the various sections (bridge, chorus, etc) of a song.

  machine-learning-classificationmusic
  2

• ajitmane36 / Bank-Marketing-Effectiveness-Prediction-ML-Classification

  This project focuses on utilising machine learning techniques to predict the effectiveness of bank marketing campaign. Logistic Regression, Decision Tree, Random Forest, Gradient Boosting Machine, XGBoost, K Nearest Neighbor, Naive Bayes, Support Vector Machine, and Artificial Neaural Networks algorithms are used to build a model for prediction.

  machine-learning-classification
  Language:Jupyter Notebook 1

• AneshaaK / Winner-Pokemon-Prediction

  Project aim is to use machine learning for predicting the winner of Pokémon among player choices. Potential audiences are the general public interested in playing the game and company management.

  crisp-dmgoogle-colab-notebookkaggle-datasetmachine-learning-classificationpython3scikitlearn-machine-learningscipyseabornsupervised-learning
  Language:Jupyter Notebook 1

• Kalyani011 / DeepLearning-Logistic_Regression

  Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification

  backpropagation-momentumdeep-neural-networkimage-netlogistic-regressionmachine-learning-classificationshallow-neural-networkstochastic-gradient-descent
  Language:Jupyter Notebook 1

• KishorAlagappan / customer-conversion-prediction-app

  🚀 Revolutionize customer targeting with a predictive ML model that optimizes insurance subscription. 🎯📊

  data-sciencedata-visualizationfeature-importancemachine-learningmachine-learning-classificationpythonscikit-learnxgboost-classifier
  Language:Jupyter Notebook 1

• shahjan49 / CODSOFT

  CODSOFT Data Science Internship Project Tasks.

  machine-learningmachine-learning-algorithmsmachine-learning-classificationmachine-learning-modelsmachine-learning-regression
  Language:Jupyter Notebook 1

• shinho123 / 23.11.10-1st-Korean-Society-of-Industrial-Engineers

  2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자

  api-datachurn-user-predictiondata-preprocessingimblearnleague-of-legendsmachine-learning-classificationnumpypandaspickleriot-apisklearnimbalanced-datajson-api
  Language:Jupyter Notebook 1

• Sidx369 / ML-Classification-Notebooks

  Notebooks for Machine Learning Classification

  classificationmachine-learning-classificationmbtismote
  Language:Jupyter Notebook 1

• vigzmv / HealthHack

  :ambulance: Get Instant Result from your Test Reports analyzed over a huge data-set using machine learning classification

  machine-learning-classificationhealthpdf-readerdjango
  Language:Python 1

• xprathamesh / Cancerous-Tumor-Classifier-based-on-gene-expressions

  Cancerous Tumor Classifier based on RNA-Seq gene expressions dataset

  machine-learningsklearnmachine-learning-classification
  Language:Python 1

• geoochi / iris

  iris classification demo

  iris-datasetmachine-learning-classificationsklean-classifiervisualization
  Language:Jupyter Notebook 0

• huzaifakhan04 / meme-classification-web-application-using-machine-learning

  This repository contains a web application associated with a collection of a few classification algorithms using machine learning in Python to determine the sentiments behind internet memes based on image and text data extracted from 6,992 different internet memes, as part of the final project for the Introduction to Data Science (DS2001) course.

  classificationclassification-algorithmclassification-modeldata-analysisdata-scienceflask-applicationimage-classificationmachine-learningmachine-learning-classificationmeme-classifierscikit-learnsentiment-analysissupervised-learningtext-classificationweb-application
  Language:Jupyter Notebook 0

• JihadDem / Classification-cancer-sein

  data-cleaningmachine-learning-algorithmsmachine-learning-classification
  Language:Python 0

• luuisotorres / EDA-and-Employee-Attrition-Prediction

  Exploratory data analysis and machine learning classification models to predict employee attrition.

  ada-boost-classifierdata-sciencedecision-tree-classifieremployee-attritionemployee-managementgradient-boostinghyperparameter-optimizationmachine-learningmachine-learning-classificationrandom-forestrandomsearch-cvscikit-learnsklearnsklearn-classifierxgboostxgboost-classifier
  Language:Jupyter Notebook 0

• michaelgrn / ThesisCode

  This repository contains code designed to reproduce the results of my thesis by first generating a data set from query logs (Data), extracting features from that data set (FeatureExtraction), performing experiments based on those features (Experiments), and showing those results (Results).

  data-sciencefeature-extractionnlpmachine-learning-classificationinformation-retrieval
  Language:Jupyter Notebook 0

• ptjahjadi / Discrete-ML-Methods

  The aim of this project is to assess various machine learning classification techniques for discrete data. The models are to predict tweets' location solely using lexical analysis.

  australiamachine-learning-classificationpredict-tweetspredicting-locationsclassification
  Language:Rich Text Format 0

• shahjan49 / Machine-Learning-

  Machine Learning Projects

  machine-learningmachine-learning-algorithmsmachine-learning-classificationmachine-learning-clusteringmachine-learning-regression
  Language:Jupyter Notebook 0

• shusingh / Titanic-The-Ride

  In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!

  machine-learning-classificationtitanicmachine-learningml-modelsvisualizationdata-science
  Language:Jupyter Notebook 0

• abhiram-k-2223 / mushroom-edibility-classification

  mushroom edibility binary classification

  machine-learningmachine-learning-classification
  Language:Jupyter Notebook

• isinyavin / sentiment_analysis_using_emojis

  Machine learning model trained on 520K social media comments generating probability distribution of emojis based on textual context.

  bert-fine-tuningbert-modelmachine-learningnatural-language-processingmachine-learning-classification
  Language:Python

• keyhong / nonghyup-food-grain-bigdata-consulitng

  ml regression analysis

  correlation-analysisedajupytermachine-learning-classificationpreprocessingpythonrweb-crawling
  Language:Jupyter Notebook

• vishal-verma-96 / Oil_spill_prediction_using_ML

  This ML project by Skill Academy predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contain deployment and uses the model to make prediction.

  data-sciencemachine-learning-algorithmsmachine-learning-classificationmatplotlibmodel-building-and-evaluationnumpypandaspicklepython-3scikitlearn-machine-learningxgboost