In this project we will be making an end-to-end machine learning web application using Flask & React. we would be first doing an exploratory data analysis, then pick the right model from 3 models. Then we would proceed to train the final model on our dataset and use it to make API Then we would create user interface using React and connect it to backend through API which would be used to get predictions.
If you want detailed tutorial on how to make a web app frontend, kindly mention it in the comments.
⏰Timestamps
0:00 Introduction & Demo
01:38 Exploratory Data analysis
36:50 Building Pipeline & Training The ML Models
01:08:04 Building the backend in Flask
01:22:51 Building React Frontend
01:32:17 Final Demo
🧑‍💻Code: github.com/Deepakdj007/sroke-prediction-end-to-end-ml-app
🗄️Dataset: www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset
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