> For the complete documentation index, see [llms.txt](https://docs.zama.org/concrete-ml/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zama.org/concrete-ml/0.6-1/getting-started/showcase.md). # Demos and Tutorials This section lists several demos that apply Concrete-ML to some popular machine learning problems. They show how to build ML models that perform well under FHE constraints, and then how to perform the conversion to FHE. Simpler tutorials that discuss only model usage and compilation are also available for the [built-in models](/concrete-ml/0.6-1/built-in-models/ml_examples.md) and for [deep learning](/concrete-ml/0.6-1/deep-learning/examples.md).


Titanic	Train an XGB classifier that can perform encrypted prediction for the Kaggle Titanic competition	demo_titanic.png	https://github.com/zama-ai/concrete-ml/tree/release/0.6.x/use_case_examples/titanic
Neural Network Fine-tuning	Fine-tune a VGG network to classify the CIFAR image data-sets and predict on encrypted data	demo_nn_finetuning.png	https://github.com/zama-ai/concrete-ml/tree/release/0.6.x/use_case_examples/cifar_brevitas_finetuning
Neural Network Splitting for SaaS deployment	Train a VGG-like CNN that classifies CIFAR10 encrypted images, and where an initial feature extractor is executed client-side	demo_nn_splitting.png	https://github.com/zama-ai/concrete-ml/tree/release/0.6.x/use_case_examples/cifar_10_with_model_splitting
Handwritten digit classification	Train a neural network model to classify encrypted digit images from the MNIST data-set	demo_mnist.png	https://github.com/zama-ai/concrete-ml/tree/release/0.6.x/use_case_examples/mnist
Encrypted Image filtering	A Hugging Face space that applies a variety of image filters to encrypted images	demo_filtering.png	https://github.com/zama-ai/concrete-ml/tree/release/0.6.x/use_case_examples/image_filtering
Encrypted sentiment analysis	A Hugging Face space that securely analyzes the sentiment expressed in a short text	demo_sentiment.png	https://github.com/zama-ai/concrete-ml/tree/release/0.6.x/use_case_examples/sentiment-analysis-with-transformer

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