machine-learning-model

There are 2 repositories under machine-learning-model topic.

• jim-schwoebel / voice_gender_detection

  ♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

  machine-learningmachine-learning-tutorialmachine-learning-modelmachine-learning-modelingvoice-commandsvoicegender-detectiongender-classificationvoice-computingvoice-assistantvoice-recognitionvoice-controlvoice-activity-detectionmachine-learning-practicetutorialworkshop-materialssurveylexneurolex
  Language:Python 82

• Irlll / house-rental-prediction-machine-learning

  Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.

  house-price-predictionmachine-learningmachine-learning-projectspredictive-modelingmachine-learning-terapandicodingmachine-learning-terapan-dicodingadaboostadaboost-regressork-nearest-neighboursk-nearest-neighbours-regressormachine-learning-modelrandom-forestrandom-forest-regressorregression-models
  Language:Jupyter Notebook 9

• freesoul84 / 100DaysOfMLcode

  Machine learning for 100 days

  machine-learningjupyter-notebookcomputer-visionmachine-learning-modelrecommendation-systemobject-trackingemotion-detectionnaive-bayes
  Language:Jupyter Notebook 7

• nirajan-jha / Predicting-Employee-Churn-Using-Machine-Learning

  The aim is to build a predictive model that can accurately classify whether the employee is likely to leave or the employee is likely to stay in the company. This allows companies to take proactive measures, such as improving working conditions, offering promotions, or addressing dissatisfaction, to retain valuable employees.

  classificationdecision-treelogistic-regressionmachine-learningmodelpythonrandom-forestsupervised-machine-learningmachine-learning-model
  Language:Jupyter Notebook 2

• AbhishekRS4 / ML_water_potability

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

  machine-learningmachine-learning-modelmachine-learning-model-deploymentmachine-learning-model-managementscikit-learn-pythonwater-potabilitywater-qualitymlflowmlflow-modelmlflow-sklearndocker-deploymentkubernetes-deploymentfastapi-docker
  Language:Python 1

• amanchandra100 / Movies_Recommendation_ML_Model

  Movies Recommendation System

  machine-learningrecommender-systemdeploymentflask-applicationmachine-learning-modelsmachine-learning-projectsmachinelearning-pythonpython3machine-learning-model
  Language:Jupyter Notebook 1

• balirampansare / car-price-predictor

  Predicts the price of the car based on the input parameter.

  flaskmachine-learningmachine-learning-modelpythonlinear-regression
  Language:Jupyter Notebook 1

• burcgokden / Power-Law-Graph-Transformer

  Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

  power-lawgraph-transformerpower-law-graph-transformertransformerplgtplgamachine-translationmachine-learningattentionneural-networkmachine-learning-algorithmsmachine-learning-modeltensorflowtensorflow-textrepresentation-learninggraph-neural-networkdeep-learningresidual-networks
  Language:Python 1

• danielathome19 / Classification-Model-Builder

  Assists in the creation of convolutional neural network models for image classification. Models are generated with the Keras library, wrapped from Python in C# to allow use between languages.

  cnncnn-kerasclassificationclassification-modelmodel-buildermachine-learningmachine-learning-modelmachine-learning-model-buildertrainerneural-networkconvolutional-neural-networksconvolutional-neural-networkkerastensorflowcsharpmlpythoninteroperabilityinteropnn
  Language:C# 1

• hrishikeshnikam2000 / Face_mask_detector

  A face mask detector using multiple frameworks.

  opencv2face-mask-detectorface-recognitionpython3deep-learningdeep-neural-networksmachine-learning-model
  Language:Python 1

• Om29Singh / Diabetes_Prediction

  Diabetes Prediction using Machine Learning

  machine-learningjupyter-notebooksmachine-learning-modelpython3predictionsupervised-learning-algorithmssupport-vector-machines
  Language:Jupyter Notebook 1

• R-Projects-Portfolio / Madrid-Real-Estate-Price-Prediction

  This is a Supervised Learning Model which predicts the Price of Real Estate in Madrid, Spain.

  machine-learningmachine-learning-modelprice-predictionrr-projectsupervised-learningsupervised-machine-learning
  Language:R 1

• raghavagps / nagbinder

  A method for predicting NAG interacting residues in a protein from its primary sequence

  machine-learning-modelprediction-algorithmnag-bindingnag-interactingprotein-bioinformatics
  Language:Python 1

• sciustea / Improve-Machine-Learning-Model-Accuracy_Feature-Engineering_Python

  Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;

  feature-engineeringmachine-learningmachine-learning-modelmodel-accuracytesting-datatraining-dataclassification-algorithmjupyter-notebookmachine-learning-algorithmpythondata-science
  Language:Jupyter Notebook 1

• eparedes90 / WebApp_DisasterResponse

  Pipeline Classifier of Messages

  machine-learning-modelnatural-language-processingpipelinewebapp
  Language:Python 0

• Himasnhu-AT / COX3-ML-Model

  Building an ML model for detecting if a patient is COVID-19 positive or not. Based on dataset: https://www.kaggle.com/datasets/andyczhao/covidx-cxr2

  machine-learningmachine-learning-algorithmsmachine-learning-modelmodel
  Language:Jupyter Notebook 0

• Lamiorkor / LyriGenesis

  LyriGenesis is an Introduction to Artificial Intelligence (AI) Final Project. This is an AI model that takes a word or phrase from a user and uses it to generate song lyrics whose length is also based on another input by the user.

  artificial-intelligencefinal-projectmachine-learning-modelsong-lyrics-generator
  Language:Jupyter Notebook 0

• mpavlovic / toxic-comments-classification

  Deep learning model and code for Toxic Comments Classification Challenge on Kaggle. Simple framework for similar competitions.

  toxic-comment-classificationpython-3kerastensorflowscikit-learnneural-networktext-classificationdeep-learningmachine-learning-modelkaggle-competitionnatural-language-processingkaggle-frameworkkaggle-toxic-commentsconvolutional-neural-networks
  Language:Python 0

• qwqoro / ML-Corrupted

  📊 [ML] Classification Problem Solution: Guessing the type of a corrupted file

  classificationclassification-modelclassification-modelsclassification-problemcorruptedcorruptionfile-analysisfile-analyzerfile-contentfile-typefile-type-checkfile-type-detectionfile-typesmachine-learningmachine-learning-modelmachine-learning-modelsforensic-analysis
  Language:Jupyter Notebook 0

• rishabjainX / PoisonAI

  An Image Classification Model trained on 6000+ images of various plants. When an image is uploaded, it returns whether the plant is poisonous or not. Tri-Valley Hacks 2023 project.

  artificial-intelligencemachine-learningmachine-learning-model
  Language:Jupyter Notebook 0

• Yashmenaria1 / Credit-Card-Fraud-Detection

  The credit card fraud detection model employs a Random Forest Classifier, a robust ensemble learning technique. It analyzes various transaction features to accurately identify fraudulent activities, leveraging the collective decision-making of multiple decision trees to enhance detection accuracy and resilience against data imbalances.

  credit-card-fraud-detectioncredit-card-validationmachine-learning-modelml
  Language:Jupyter Notebook 0

• CTLife / cfDNA-5hmC_LungCancer

  Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.

  cfdna5hmcbioinformaticsliquid-biopsylung-cancerpredictiondisease-stateheterogeneitymachine-learning-modelnon-small-cell-lung-cancernsclcegfr-mutant
  Language:R

• EMIIA / cognitive.emiia.ru

  ЭМИИА | EMIIA | КОГНИТИВНАЯ РАДИООПТИКА | COGNITIVE RADIO OPTICS | РАДИООПТИКА | RADIO OPTICS

  emiiacognitive-radio-opticsradio-opticsmachine-visionmachine-learningmachine-learning-modelsmachine-learning-algorithmsmachinelearningmachine-learning-modelmachine-learning-mathematicsemiia-ai
  Language:CSS

• gracesianipar / ML-in-the-Cloud

  Submission detecting cancer using Cloud Run

  cloudrundeploymentmachine-learning-model
  Language:JavaScript

• karimosman89 / prediction-powerbi

  This project focuses on building a customer churn prediction model using machine learning and visualizing the results with Power BI. You will use Python for churn prediction and Power BI for generating interactive reports that display key metrics such as churn rate, customer demographics, and predictive insights.

  machine-learning-modeldashboardspower-bipredict-customerexploring-customer-trendsazure-sql-databasesql-server
  Language:Python

• LykourgosS / iris-ml-model-microservice

  A FastAPI microservice for predicting iris species based on sepal and petal dimensions. This project leverages machine learning to classify iris flowers into their respective species. (mpsp)

  dockerfastapiiris-classificationmachine-learning-modelmicroservice
  Language:Python

• NewthingAde / Attrition_Of_Customer_Machine_Learning_Model

  This Machine Learning Model Predict behavior to retain customers of a credit card services.

  machine-learningmachine-learning-modelmachine-learning-models-deploymentdata-science
  Language:Jupyter Notebook

• NewthingAde / Telecomunication_Compnay_Churn_Model

  This Machine Learning Model Predict behavior to retain customers in a Telecommunication Company. The focus of the project is on customer retention.

  machine-learningmachine-learning-modelsupervised-learningdata-science
  Language:Jupyter Notebook

• wlodpawlowski / machine-learning-basic-datasets

  Repository which consists different code snippets and projects for my personal lessons recorded at the University of San Francisco in during learning of the Machine Learning.

  machine-learningmachine-learning-algorithmsmachine-learning-modelsmachine-learning-a-to-zmachine-learning-librarymachine-learning-practicemlmachine-learning-modelmachine-learning-mathematicsmachine-learning-modata-preparationmodel-validationbuilding-data-productsdata-productsrandom-forestrfgradient-descentlogistic-regressionregularizationnlp-machine-learning