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Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

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Bible-Verse-Prediction-ML-App
Bible-Verse-Prediction-ML-App
 
 
Bible-Verse-Prediction-Machine-Learning-App
Bible-Verse-Prediction-Machine-Learning-App
 
 
Build-n-Deploy-Flask-App-with-Waypoint
Build-n-Deploy-Flask-App-with-Waypoint
 
 
Deploying ML Flask App to GCP
Deploying ML Flask App to GCP
 
 
DisplaCify_App-Using-Displacy-in-Flask
DisplaCify_App-Using-Displacy-in-Flask
 
 
Embedding-Machine-Learning-Into-Express.js App
Embedding-Machine-Learning-Into-Express.js App
 
 
Gender-Classifier-ML-App-with-Flask + Bootstrap
Gender-Classifier-ML-App-with-Flask + Bootstrap
 
 
Gender-Classifier-ML-App-with-Flask + Bootstrap
Gender-Classifier-ML-App-with-Flask + Bootstrap
 
 
Iris-Species-Predictor-ML-Flask-App-With-Materialize.css
Iris-Species-Predictor-ML-Flask-App-With-Materialize.css
 
 
Iris_EDA_Web_App
Iris_EDA_Web_App
 
 
NLP-Based Flask App with TextBlob(Main Points and Sentiment Analysis)
NLP-Based Flask App with TextBlob(Main Points and Sentiment Analysis)
 
 
NLPIffy_NLP_Based_SpaCy_Flask_App&_API
NLPIffy_NLP_Based_SpaCy_Flask_App&_API
 
 
Nationality_n_Gender Predictor_ML-WebApp
Nationality_n_Gender Predictor_ML-WebApp
 
 
Semi-Automated-Machine-Learning-Flask-App(Drag-&-Drop-Dataset)
Semi-Automated-Machine-Learning-Flask-App(Drag-&-Drop-Dataset)
 
 
Serving_ML_Models_as_API_with_FastAPI
Serving_ML_Models_as_API_with_FastAPI
 
 
SpamDetector_ML_Package
SpamDetector_ML_Package
 
 
Summaryzer_Text_Summarization_App
Summaryzer_Text_Summarization_App
 
 
Youtube-Spam-Detector-ML-Flask-App
Youtube-Spam-Detector-ML-Flask-App
 
 
gender_classifier_mlapp_with_streamlit
gender_classifier_mlapp_with_streamlit
 
 
README.md
README.md
 
 

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Machine-Learning-Web-Apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,Express,etc)

Basic Requirements

For Python ML Web Apps

  • Flask
  • Streamlit
  • Scikit-learn
  • Pandas
  • Numpy
  • Joblib/Pickle
  • Matplotlib
  • Spacy
  • NLTK
  • Textblob
  • Requests

For Nodejs ML Web App

  • Express.js
  • Brainjs
  • Body-parser
  • etc

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Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

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