AutoML Pro demo
🎥 AutoML Solution | Build ML Models in Minutes | Streamlit App Demo
Welcome to the official demo of AutoML Solution – a powerful, all-in-one web app built using Streamlit that simplifies the entire machine learning pipeline. From data upload to model deployment, this tool makes ML accessible for everyone — with zero complex coding required.
🚀 Try it Live → https://purnima2004-automl-solution.streamlit.app
📂 GitHub Repo → https://github.com/Purnima2004/AutoML-Solution
🔍 What Can You Do with AutoML Solution?
✅ Upload CSV files (single or separate train/test)
✅ Preview data, view stats & select target column
✅ Auto-preprocessing (missing values, encoding, scaling)
✅ Supervised ML: Classification & Regression
✅ Unsupervised ML: Clustering, PCA, Anomaly Detection
✅ Train models: SVM, XGBoost, Random Forest, Neural Networks, etc.
✅ Interactive hyperparameter tuning
✅ Real-time performance metrics (Accuracy, F1, MAE, R², etc.)
✅ Batch & single prediction support
✅ Save & download models as .pkl
✅ Light/Dark mode UI + clear error feedback
💬 Enjoyed the video? Like 👍 | Share 🔁 | Comment 🗨️
⭐ Found the tool useful? Star it on GitHub & contribute!
#AutoML #Streamlit #MachineLearning #Python #DataScience #MLTools #OpenSource #AI #PCA #Clustering #AnomalyDetection #NeuralNetworks
Видео AutoML Pro demo канала Purnima Sahoo
Welcome to the official demo of AutoML Solution – a powerful, all-in-one web app built using Streamlit that simplifies the entire machine learning pipeline. From data upload to model deployment, this tool makes ML accessible for everyone — with zero complex coding required.
🚀 Try it Live → https://purnima2004-automl-solution.streamlit.app
📂 GitHub Repo → https://github.com/Purnima2004/AutoML-Solution
🔍 What Can You Do with AutoML Solution?
✅ Upload CSV files (single or separate train/test)
✅ Preview data, view stats & select target column
✅ Auto-preprocessing (missing values, encoding, scaling)
✅ Supervised ML: Classification & Regression
✅ Unsupervised ML: Clustering, PCA, Anomaly Detection
✅ Train models: SVM, XGBoost, Random Forest, Neural Networks, etc.
✅ Interactive hyperparameter tuning
✅ Real-time performance metrics (Accuracy, F1, MAE, R², etc.)
✅ Batch & single prediction support
✅ Save & download models as .pkl
✅ Light/Dark mode UI + clear error feedback
💬 Enjoyed the video? Like 👍 | Share 🔁 | Comment 🗨️
⭐ Found the tool useful? Star it on GitHub & contribute!
#AutoML #Streamlit #MachineLearning #Python #DataScience #MLTools #OpenSource #AI #PCA #Clustering #AnomalyDetection #NeuralNetworks
Видео AutoML Pro demo канала Purnima Sahoo
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23 июня 2025 г. 21:57:01
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